Heritage community protection updating method and device based on social network analysis

Abstract

The invention belongs to the technical field of data processing, and particularly relates to a heritage community protection updating method and device based on social network analysis. The method comprises the steps of obtaining survey data of a target heritage community; constructing a relation network matrix among the actors according to the survey data; if it is determined that the relation network matrix meets a preset heritage community stability standard, development degree data of the target heritage community is obtained based on the network structure parameters, and core actors of the target heritage community are obtained based on the network position parameters; and determining an updated action plan of the target heritage community. The social network theory and method are introduced, a quantitative method is provided for protection and updating of human habitation type heritage places (especially determining the development degree of heritage communities and key actors thereof), the action logic of a single subject can be broken, a multi-element treatment structure in which governments, communities, enterprises and other promoters jointly participate is established, and the development degree of the heritage communities and the key actors are determined. And more participation channels and resource supports are provided for heritage protection and sustainable development.

Description

Technical Field

[0001] The present application belongs to the field of data processing technology, and in particular, relates to a method and device for heritage community protection and updating based on social network analysis. Background Art

[0002] Heritage communities (heritage protection communities formed by local residents and various external organizations that love local culture) have become an important issue in the current human settlement heritage protection. How to quantitatively evaluate the development level of heritage communities and formulate protection and renewal actions based on the evaluation is a key technical method.

[0003] The key to the protection and renewal of heritage communities is to scientifically and rationally determine the development level and core actors of heritage communities. The relevant quantitative research methods are as follows:

[0004] 1) Assess the value of cultural heritage from the community perspective. Investigate the differences in heritage value assessment between different community residents and between community residents and stakeholders. This method usually uses community maps or questionnaires to explore the differences in heritage value judgments between community residents and stakeholders at the heritage site.

[0005] 2) Evaluate the social impact of cultural heritage. Construct a cultural heritage assessment framework suitable for China. Conduct a comprehensive assessment of the positive and negative impacts of cultural heritage from the five links of current situation study - value study - impact identification - impact assessment - mitigation measures, and analyze the gains and losses of heritage value. This method is based on the indicator system of cultural heritage impact assessment or social impact assessment, and aims to measure the impact of different types of heritage sites on surrounding areas.

[0006] 3) Assess community participation in heritage conservation to determine the relative importance of the societal perspectives investigated.

[0007] These studies have mostly focused on studying the relationship between community residents’ value judgments on heritage sites, protection effects, and cultural and social impacts. They have not yet realized the important role of “the heritage protection community formed by local residents and various external organizations that love local culture” (heritage community) as the main actor, and they also lack quantitative evaluation methods for the overall structure of the heritage community. Summary of the invention

[0008] The embodiments of the present application provide a method and device for protecting and updating a heritage community based on social network analysis, which can solve the problem that the prior art lacks a quantitative evaluation method for the overall structure of a heritage community.

[0009] In a first aspect, the present application provides a method for updating heritage community protection based on social network analysis, including:

[0010] Obtaining survey data of the target heritage community, the survey data including at least two categories of actor data;

[0011] According to the survey data, a relationship network matrix between the actors is constructed, wherein the relationship network matrix is ​​a directed multi-valued matrix and includes a network structure parameter and a network position parameter;

[0012] It is determined that the relationship network matrix meets the preset heritage community stability standards, then:

[0013] Based on the network structure parameters, the development degree data of the target heritage community is obtained, and based on the network position parameters, the core actors of the target heritage community are obtained;

[0014] A renewal action plan for the target heritage community is determined based on the development level data and the core actors.

[0015] In a possible implementation of the first aspect, the step of constructing a relationship network matrix among the actors according to the survey data includes:

[0016] The nodes of the relationship network matrix are constructed based on the actor types of the target heritage community, and the connections between the nodes are constructed based on the relationships between the actors of different categories to obtain the relationship network matrix.

[0017] In a possible implementation of the first aspect, the stability standard of the heritage community is: the density of the relationship network matrix is ​​greater than a preset threshold;

[0018] The density is used to quantify the closeness of the connection between actors; the density is positively correlated with the number of relationships actually existing in the relationship network matrix, and the density is negatively correlated with the upper limit of the theoretical number of relationships in the relationship network matrix.

[0019] In a possible implementation manner of the first aspect, the development degree data includes at least one of density, average distance, and reciprocity index;

[0020] Among them, the average distance is used to quantify the degree of association between actors, and the average distance is positively correlated to the distance between any two nodes in the relationship network matrix; the reciprocity index is used to quantify the mutuality of the relationship between actors, and the reciprocity index is positively correlated to the number of reciprocal node pairs in the relationship network matrix, and the reciprocity index is negatively correlated to the theoretical upper limit of the number of tuples in the relationship network matrix.

[0021] In a possible implementation of the first aspect, the core actors include influence actors;

[0022] The step of obtaining the core actors of the target heritage community based on the network location parameters comprises:

[0023] Calculate the degree centrality of the designated node according to the relationship network matrix; wherein the degree centrality is positively correlated with the number of relationships from non-designated nodes to the designated node;

[0024] The designated node whose degree centrality satisfies a preset degree condition is determined as the influential actor.

[0025] In a possible implementation of the first aspect, the core actor includes a weakly connected actor;

[0026] The step of obtaining the core actors of the target heritage community based on the network location parameters comprises:

[0027] Calculating the betweenness centrality of the designated node according to the relationship network matrix; wherein the betweenness centrality is positively correlated with the shortcut probability, and the shortcut probability refers to the probability that the designated node is located on the shortcut between any two non-designated nodes;

[0028] The designated node whose betweenness centrality satisfies a preset degree condition is determined as the weakly connected actor.

[0029] In a second aspect, the embodiment of the present application provides a heritage community protection and renewal device based on social network analysis, including:

[0030] A data module, used for obtaining survey data of the target heritage community, wherein the survey data includes actor data of at least two categories;

[0031] A matrix module, used to construct a relationship network matrix between the actors according to the survey data, wherein the relationship network matrix is ​​a directed multi-valued matrix and includes network structure parameters and network position parameters;

[0032] Computational modules for:

[0033] It is determined that the relationship network matrix meets the preset heritage community stability standards, then:

[0034] Based on the network structure parameters, the development degree data of the target heritage community is obtained, and based on the network position parameters, the core actors of the target heritage community are obtained;

[0035] An action module is used to determine an update action plan for the target heritage community based on the development level data and the core actors.

[0036] In a third aspect, an embodiment of the present application provides a terminal device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the heritage community protection and updating method based on social network analysis as described in any one of the first aspects above is implemented.

[0037] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the heritage community protection and updating method based on social network analysis as described in any one of the first aspects above is implemented.

[0038] In a fifth aspect, an embodiment of the present application provides a computer program product, which, when executed on a terminal device, enables the terminal device to execute the heritage community protection and updating method based on social network analysis as described in any one of the above-mentioned first aspects.

[0039] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0040] The introduction of social network theory and methods provides a quantitative method for the protection and renewal of human settlement heritage sites (especially determining the degree of development of heritage communities and their key actors). It also helps to break the action logic of a single subject and establish a pluralistic governance structure involving the government, communities, enterprises and other promoters, providing more participation channels and resource support for heritage protection and sustainable development.

[0041] It can be understood that the beneficial effects of the second to fifth aspects mentioned above can be found in the relevant description of the first aspect mentioned above, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0043] Figure 1 It is a flowchart of a heritage community protection and updating method based on social network analysis provided in an embodiment of the present application.

[0044] Figure 2 It is a structural diagram of a heritage community protection and renewal device based on social network analysis provided in an embodiment of the present application.

[0045] Figure 3 It is a schematic diagram of the structure of the terminal device provided in an embodiment of the present application.

[0046] Figure 4 This is a framework diagram of the heritage community analysis provided by the embodiment of this application.

[0047] Figure 5 It is a research framework diagram for conducting quantitative analysis of heritage communities based on social network analysis (SNA) provided in an embodiment of the present application.

[0048] Figure 6 The embodiment of the present application provides a schematic diagram of the heritage transformation process and major events of a certain outstanding historical building in Shanghai.

[0049] Figure 7 This is a schematic diagram of the evaluation results of three dimensions of a certain excellent historical architectural heritage community in Shanghai provided by an embodiment of the present application.

[0050] Figure 8 This embodiment of the application provides a degree centrality network diagram of actors in three scenarios (from top to bottom: renovation project, riverside living room, and film and television drama) in a community of excellent historical architectural heritage in Shanghai.

[0051] Fig. 9 This embodiment of the application provides a schematic diagram of the ranking of the betweenness centrality of actors in three scenarios (from top to bottom: renovation project, riverside living room, and film and television drama) in a community of excellent historical architectural heritage in Shanghai.

[0052] Fig.10 This is a schematic diagram of network location analysis results of different actors in a community of outstanding historical architectural heritage in Shanghai provided by an embodiment of the present application.

[0053] Reference numerals:

[0054] Terminal device 30;

[0055] Processor 301;

[0056] Memory 302;

[0057] Computer program 303. DETAILED DESCRIPTION

[0058] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0059] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or combinations thereof.

[0060] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0061] As used in the specification and appended claims of this application, the term "if" can be interpreted as "when" or "uponce" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "uponce it is determined" or "in response to determining" or "uponce [described condition or event] is detected" or "in response to detecting [described condition or event]", depending on the context.

[0062] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0063] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0064] Heritage communities have become a hot topic in the protection and inheritance of residential heritage, but how to identify heritage communities, their formation mechanisms, and the roles played by different actors in them are still worth exploring in depth. Taking the outstanding historical buildings in Hongkou District, Shanghai as a specific example, the actor-network theory is used in combination with various embodiments to explore the above issues.

[0065] From the perspective of practical application, the specific implementation of the plan is divided into two stages: first, to build a heritage community assessment indicator system to measure the development stage of heritage communities; second, to combine social network analysis to reveal the complex relationship between different actors in the heritage community, focus on key events in the formation process of the heritage community, and deeply analyze the roles of various actors and their action logic.

[0066] Based on the various embodiments of this application, not only can the protection and renewal problems of heritage communities be solved, but also data can be used to explore the important significance of heritage communities to the protection and inheritance of contemporary urban and rural cultural heritage in China.

[0067] Firstly, the relevant attributes of the heritage community will be explained and illustrated.

[0069] As carriers of local culture and living places of residents, heritage communities have become a hot topic in international heritage protection theory and practice research: in 2005, the European Council's "Framework Convention on the Social Value of Cultural Heritage" formally proposed the concept of "heritage community"; in 2007, the World Heritage Committee added the fifth "C" (Community) on the basis of the "4C" strategy in the 1990s, emphasizing the important role of communities in heritage protection and sustainable development; in 2011, UNESCO's "Recommendation on the Historic Urban Landscape (HUL)" encouraged local communities to participate in heritage protection and advocated diverse heritage values; in 2014, "Nara +20" emphasized that professionals should be included in "community affairs that can affect cultural heritage."

[0070] How to understand heritage communities, evaluate their development, and analyze the role of different participants in the protection and inheritance of cultural heritage are the key and difficult issues in current research. Starting from the perspective of actor theory, this paper takes the excellent historical building in Hongkou District, Shanghai as an example to judge the development stage of the heritage community of this historical building by constructing evaluation criteria; with the help of social network analysis methods, it deeply analyzes the formation mechanism of heritage communities, focusing on the participation methods and effects of different types of actors in different events, and finally summarizes the important significance of heritage communities for the protection and inheritance of my country's cultural heritage.

[0071] On heritage communities and heritageization:

[0072] The heritage community cannot be simply understood as a "community with heritage", but rather an organic combination of "heritage sites" and "communities". The Faro Convention states that a heritage community is "composed of people who value specific aspects of cultural heritage and are willing to promote its protection and pass it on to future generations within the framework of public action" (Article 2b). The members of the heritage community are not only local residents, but also external organizations such as research institutions and associations that have cultural identification with the heritage site or participate in its protection. Cultural heritage has the attribute of "public interest", and every community member has the "right to participate in, assist or increase the value of heritage and to benefit from it". This is the "right to cultural heritage" emphasized by the Faro Convention. Of course, this does not deny the rights of private ownership and other stakeholders, but calls on more types of actors to pay attention to and participate in the protection of community heritage, and to determine the scope and extent of participation in practice. The definition of a heritage community in this application is: a community formed within a certain geographical space, containing unique heritage resources, and relying on strong cultural ties.

[0073] Heritage communities need to go through a complex "heritageization" process before they can be gradually formed. Heritageization is a social process involving multiple actors: it originates from the experts' cognition and value judgment of heritage, goes through the discussion and selection of the majority of people (especially residents of the heritage site), and finally gains wide recognition at the social level and becomes a public heritage process protected by law. According to domestic and foreign literature, heritageization generally goes through the following six stages: heritage consciousness (conscience), heritage selection (selection), heritage justification (justification), heritage protection (conservation), heritage display (exposition) and heritage valorization (valorization).

[0074] The following will provide examples of the present application based on the above description.

[0075] The embodiment of the present application provides a heritage community protection and updating method based on social network analysis, including:

[0076] Step 102, obtaining survey data of the target heritage community, wherein the survey data includes at least two categories of actor data;

[0077] In terms of actor classification, a typical classification method is to divide actor types based on four categories: local communities, government departments, corporate organizations and other promoters. This method is widely recognized and adopted in international documents.

[0078] Furthermore, when performing specific analysis tasks, further subdivisions can be made based on these four categories, and relevant instructions will be provided later (see Table 2 and its related instructions).

[0079] Step 104, constructing a relationship network matrix between the actors based on the survey data, wherein the relationship network matrix is ​​a directed multi-valued matrix and includes network structure parameters and network position parameters;

[0080] Step 106: Determine whether the relationship network matrix meets the preset heritage community stability standard, then:

[0081] Based on the network structure parameters, the development degree data of the target heritage community is obtained, and based on the network position parameters, the core actors of the target heritage community are obtained;

[0082] Step 108: determining an update action plan for the target heritage community based on the development level data and the core actors.

[0083] An example of an optional action plan could include:

[0084] 1. Include heritage communities that meet the development level data in the priority action list for heritage protection and renewal.

[0085] 2. The core actors of the target heritage community, obtained based on network location parameters, will be included in the key action group for heritage community protection and renewal work.

[0086] In this embodiment, "actor" is derived from Parsons' action sociology, which believes that a basic action unit is composed of actors, action goals, action situations and normative orientations of actions. Actors are not only affected by their environment, but also create new social relations in interaction, thereby shaping their social environment. In the heritage community, heritageization is essentially a dynamic process of cultural production. It not only refers to the official recognition of material remains through "listing", but also includes the complex social, cultural and economic connections formed by various stakeholders around heritage protection in the process of "becoming heritage". Stakeholders in heritage communities can usually be divided into four types of actors: local communities, government departments, corporate organizations and promoters. Their participation and interaction are crucial to the identification and evaluation, protection and utilization, development and management of heritage. This application defines actors as: subjects who are in certain social relations and can actively make interest demands, action choices and power games within a certain action space.

[0087] In an optional implementation, the data obtained in step 102 is differentiated and summarized based on actor categories, and for each actor category, it may contain specific data of multiple actors. The acquisition of these data can be achieved through questionnaires, visits, etc., but the specific content of the data still needs to be carefully designed to achieve better results.

[0088] Based on the actor theory perspective, an alternative implementation is as follows: Figure 4 As shown in the figure, a multidimensional analytical framework can be constructed to evaluate heritage communities and explore their formation mechanism. It is divided into two parts: first, establishing evaluation criteria to measure the development stage of heritage communities; second, using social network analysis to reveal the complex relationship between different actors in heritage communities, and selecting important events in the formation process of heritage communities to deeply analyze the roles and action logic of various actors in these processes.

[0089] More specifically, Figure 5 A research framework for quantitative analysis of heritage communities based on social network analysis (SNA) is provided.

[0090] In an optional implementation, the assessment of heritage communities can refer to the following four categories: community perspective assessment of cultural heritage value, social impact assessment of cultural heritage, assessment of community participation in protection, and assessment based on community vitality and sustainable development of heritage.

[0091] These assessments mostly focus on exploring the relationship between communities and heritage, and lack a comprehensive assessment of the development level of heritage communities. In fact, while proposing the concept of heritage communities, the Faro Convention also established a heritage community assessment indicator system covering four types of actors and three dimensions to determine the formation stage of heritage communities and guide future protection actions. This assessment system has been applied in the cultural heritage protection practices of European cities such as Rome, Venice, and Marseille.

[0092] This implementation method constructs a heritage community assessment index system based on actor theory (Table 1), covering three progressive dimensions: first, there needs to be enough actor participation in the heritage community (A. the degree of actor participation); second, these actors need to fully cooperate to make heritage actions more inclusive and holistic (B. the level of cooperation between different actors); and finally, all actors should be committed to promoting the development of the heritage community and achieving sustainable development of heritage at the economic and social levels (C. the degree of promoting the development of the heritage community).

[0093] Table 1 Evaluation criteria for heritage communities

[0094]

[0095] Furthermore, the social network analysis provided in this embodiment can reveal the internal driving force of community change by analyzing the changes in social relations between groups at different stages, and is widely used in community renewal, heritage protection and stakeholder research, such as analyzing the relationship between the layout of public service facilities and residents' behavior, and the willingness and ability of residents to participate in public affairs. Understanding the social relations behind the actors can help us better explain the behavioral motivations of the actors, and social network analysis is the main method for quantitatively analyzing the relationships and network structures between various actors. Among them, the network structure can show the overall relationship characteristics of the actors, and the position of the actors in the network structure determines the role they play in the network.

[0096] From the perspective of action logic, actors are individuals who carry out social actions in a specific context. In order to understand the behavior of different actors in the heritage community and their impact, it is necessary to introduce the concept of "action context" - that is, the social, cultural and economic background faced by the actors, as well as the resources and capabilities they have. Different action contexts will affect the strategies and action logic of the actors, and the behavior of the actors will sometimes cause changes in the context. The concept of action context is often used to understand social governance issues, such as exploring the possibility of community collaborative governance through the action context and logic of the participating subjects; or formulating action strategies in special contexts from the perspective of mobilizing subjects, and revealing the action strategies of local government intervention. These studies provide empirical support for understanding the action logic of actors in different contexts. By analyzing representative events in the process of protection and renewal of historical buildings, this paper deeply explores the action logic of actors in different contexts to explain the formation mechanism of heritage communities.

[0097] Under the above framework, the step of obtaining the pre-information in step 102 of this embodiment can be specifically as follows:

[0098] Conduct a general survey of actors within the scope of the study (all actors related to the protection of human settlement heritage sites). Identify all actors involved in the protection actions, and classify and number these actors (denoted as Sx)

[0099] Therefore, step 104 can be understood accordingly:

[0100] Key actors were selected within the research scope, and the relationships among the actors were obtained with the help of questionnaires, resulting in a directed multi-valued network matrix (Nx) between the actors in the heritage community.

[0101] The multi-value network matrix here may correspond to the relationship network matrix in step 104 .

[0102] Further, step 106 can be understood as:

[0103] The heritage community is analyzed from the perspectives of network structure and network position, the development level of the heritage community is evaluated and the core actors are identified.

[0104] In addition, in an optional implementation, the pre-information acquisition step includes:

[0105] All actors involved in conservation actions are identified and interviewed through snowballing and informant techniques until no new actors emerge in the investigation.

[0106] Referring to Table 1, in a preferred implementation, all actors are divided into four categories: local communities, government departments, corporate organizations and other promoters, and further divided into several subcategories according to the actual conditions of different heritage communities, and these subcategories are numbered in sequence.

[0107] According to the above embodiment, in another embodiment, the step of constructing the relationship network matrix between the actors according to the survey data includes:

[0108] The nodes of the relationship network matrix are constructed based on the actor types of the target heritage community, and the connections between the nodes are constructed based on the relationships between the actors of different categories to obtain the relationship network matrix.

[0109] In an optional implementation, the steps of this embodiment are executed following the steps of obtaining the pre-information in the previous embodiment, so step 104 can be specifically as follows:

[0110] Different types of actors (Sx) in the heritage community are regarded as “nodes”, and the relationships between different types of actors are regarded as “lines”.

[0111] In the questionnaire survey, respondents were asked to select the actor category (Sx) that matched their identity description and to rate the relationship between themselves and all other types of actors. The score represented the strength of the connection between actors, where 2 points represented long-term connection, 1 point represented short-term connection, and 0 points represented no connection between actors.

[0112] The relationship data collected in the questionnaire were processed, and the greatest common divisor of the relationship data results of different individuals in the same category of actors was taken to obtain the directed multi-valued network matrix of the heritage community.

[0113] According to the above embodiment, in yet another embodiment, the stability standard of the heritage community is: the density of the relationship network matrix is ​​greater than a preset threshold;

[0114] The density is used to quantify the closeness of the connection between actors; the density is positively correlated with the number of relationships actually existing in the relationship network matrix, and the density is negatively correlated with the upper limit of the theoretical number of relationships in the relationship network matrix.

[0115] The development degree data includes at least one of density, average distance and reciprocity index;

[0116] Among them, the average distance is used to quantify the degree of association between actors, and the average distance is positively correlated to the distance between any two nodes in the relationship network matrix; the reciprocity index is used to quantify the mutuality of the relationship between actors, and the reciprocity index is positively correlated to the number of reciprocal node pairs in the relationship network matrix, and the reciprocity index is negatively correlated to the theoretical upper limit of the number of tuples in the relationship network matrix.

[0117] It can be understood that the developmental degree data (including density, average path length, and reciprocity index) belong to the characteristic data of the above-mentioned relationship network matrix. These data themselves can be understood as network structure parameters, and the parameters used to calculate these data (such as the node distance, node association strength, node association direction, etc. of the relationship network matrix) can also be understood as network structure parameters.

[0118] In this example, the higher the network density, the closer the connection between actors, the stronger the network stability, and the less likely it is to collapse due to the withdrawal of some actors. The shorter the average path length, the more convenient the information dissemination in the heritage community, the higher the frequency of information exchange between actors, and the closer the relationship. The level of the reciprocity index reflects whether the relationship between actors is mutual, that is, whether the actors help each other.

[0119] Density refers to the closeness of the connections between actors in the network. It is calculated as "the actual number of relationships in the network / the maximum number of relationships that can exist in theory". The average path length of the network is also called the characteristic path length or average distance of the network. The average path length reflects the degree of connection between actors. It is calculated as "the average value of the distance between any two nodes in the network". The reciprocity index is used to evaluate the mutuality of the relationships between actors in the network, that is, the degree of mutual help. It is calculated as "the number of reciprocal pairs / the total number of dyads".

[0120] In an optional embodiment, the parameter operation of the relationship network matrix can be performed by network analysis software UCINET.

[0121] In this embodiment, the value range of network density is [0,1]. When the density value is greater than 0.5, it can be considered that the network is highly compact and a stable heritage community has been formed. On this basis, the average path length and reciprocity index are used to further determine the network structure characteristics of the heritage community.

[0122] According to the above embodiment, in yet another embodiment, the core actors include influence actors;

[0123] The step of obtaining the core actors of the target heritage community based on the network location parameters comprises:

[0124] Calculate the degree centrality of the designated node according to the relationship network matrix; wherein the degree centrality is positively correlated with the number of relationships from non-designated nodes to the designated node;

[0125] The designated node whose degree centrality satisfies a preset degree condition is determined as the influential actor.

[0126] The core actors include weakly connected actors;

[0127] The step of obtaining the core actors of the target heritage community based on the network location parameters comprises:

[0128] Calculating the betweenness centrality of the designated node according to the relationship network matrix; wherein the betweenness centrality is positively correlated with the shortcut probability, and the shortcut probability refers to the probability that the designated node is located on the shortcut between any two non-designated nodes;

[0129] As an example but not a limitation, the shortcut here can be understood as: the shortest path between any other two nodes passes through the node.

[0130] The designated node whose betweenness centrality satisfies a preset degree condition is determined as the weakly connected actor.

[0131] It can be understood that network position parameters (including degree centrality and betweenness centrality) belong to the characteristic data of the above-mentioned relationship network matrix. These data themselves can be understood as network position parameters, and the parameters used to calculate these data (such as the direction of association between nodes in the relationship network matrix, etc.) can also be understood as network position parameters.

[0132] In this example, degree centrality reflects the degree of direct connection between an actor and other actors. The higher the degree centrality, the more important the actor is in the network. The "weighted inward degree centrality index" reflects the degree of attention paid to the actor. A high degree means that others are more willing to contact him, reflecting his reputation and attractiveness in the network.

[0133] Betweenness Centrality reflects the actor's ability to control the relationship between others. Actors with high betweenness centrality usually have direct connections with more other actors and have stronger resource control capabilities and competitive advantages. This role is the key carrier for weak ties to play a role and plays an important bridge role in the heritage community network.

[0134] More specifically, in an optional implementation, weighted inward degree centrality is "the number of nodes pointing to this node from other nodes". Actors with high weighted inward degree centrality are at the center of power in the network, and more actors want to connect with them. Betweenness centrality reflects the actor's ability to control resources, or the ability to control the interaction between others. It is calculated as "the probability that the actor is on the shortcut between any two other actors in the network".

[0135] On this basis, the execution of step 108 may depend on:

[0136] Based on degree centrality, we find the nodes (actors) in the heritage community that have the strongest connection with other nodes and the greatest influence on the entire network. Based on betweenness centrality, we find the nodes that play a weak connection role in the heritage community, and list them as actors that need to be included in the protection and renewal of the heritage community.

[0137] According to the above embodiments, a specific heritage community will be taken as an example to provide an implementation example of practical application.

[0138] This case study selected an outstanding historical building in Shanghai. The total area of ​​the historical building is about 6,916 square meters, with 672 households, forming a large and complex residential community. Among them, 292 households are public housing (directly managed public housing) and 380 households are private housing (post-sale public housing). The large number of community residents and complex property rights backgrounds have led to large differences in heritage awareness, community management, and protection and repair responsibilities, which in turn increases the complexity and difficulty of heritage protection practice.

[0139] During the investigation, 52 relevant personnel were interviewed (6 from government departments, 10 from business organizations, 33 from local communities, and 3 promoters), 30 of whom were interviewed in depth for more than one hour, and 5 key interviewees were interviewed multiple times.

[0140] In the series of events in the process of heritageization of historical buildings ( Figure 6 ), various actors participated in the protection actions through different channels and gradually formed a consensus: from simple "listing of privileged records" to "heritage communities" with close social network relations (such as Figure 6). The stages of "heritage awareness, selection, demonstration, protection and display" proposed by the heritage theory exist in the building to varying degrees, and various groups participate in each stage, including: government (city, district, street office and neighborhood committee), local community residents (owners, lessees and tenants, etc.), corporate organizations (such as district state-owned enterprises, design units and social organizations, etc.), in addition to a large number of external experts and scholars - this verifies the circle structure of the heritage community advocated by the Faro Convention. Combining community building and stakeholder research, as well as the actual situation of the historical building, the important relevant actors in the heritage community are divided into four categories: government departments, local communities, corporate organizations and promoters, and 20 subcategories: municipal government, district government, street office, neighborhood committee, owners, lessees, tenants, property committee, volunteer team, ground floor business owners, district state-owned enterprises, property companies, design units, construction units, social organizations, film and television drama teams, real estate agencies, university scholars, historical preservation centers and media.

[0141] Table 2 Classification of actors in the example heritage community

[0142]

[0143] According to the analysis of these survey results (ref. Figure 7 ):

[0144] (1) Dimension 1: The degree of participation of actors

[0145] The level of participation of actors in the historic architectural heritage community is close to good (3.75 points). Among them, the participation of government departments is the highest, reaching an excellent level (5 points), the participation of corporate organizations is good (4 points), and the participation of local communities and promoters is also at a medium level (3 points).

[0146] (2) Dimension 2: Level of cooperation among different actors

[0147] The level of cooperation among different actors reached a medium level (3.58 points). Both government departments and corporate organizations showed a strong willingness to cooperate (5 points), but scored low in promoting consensus on heritage discourse among multiple actors (2 points), among which corporate organizations had a higher level of participation, while government departments had a greater advantage in resource mobilization. Although the overall level of cooperation among local communities was low (2.75 points), they performed better than the other two types of actors in promoting heritage consensus among multiple actors (3 points).

[0148] (3) Dimension 3: Promotion of heritage community development

[0149] The historic building performed poorly in promoting the development of the heritage community (2.3 points), which was below average, especially in achieving the participation of all parties. The performance of corporate organizations reached a medium level (3 points), and was higher than other actors in terms of multiple heritage discourse systems, sustainable economic models, and respect for diversity (3 points, 3 points, and 4 points). The comprehensive performance of local communities and government departments was 2 points, and government departments scored relatively higher in respecting rights and diversity (3 points).

[0150] In general, the overall score of the heritage community of the historic building is 3.13 points, which is at a medium level. This shows that from the perspective of actors, the historic building has initially formed a heritage community, but it is in the early stages. Among the three dimensions, the level of participation and cooperation of actors is relatively good, but there are still deficiencies in promoting the overall development of the heritage community. Secondly, compared with the other two types of actors, the level of participation of the local community is relatively low.

[0151] Quantitative evaluation indicators can help us determine the degree of participation of different actors in heritage communities, but they are not enough to explain the impact of the complex relationships between different actors on the formation of heritage communities. Therefore, it is necessary to introduce actor theory and network analysis methods to deeply analyze the formation mechanism of heritage communities.

[0152] Different action scenarios will affect the action strategies and methods of the actors. Therefore, the execution of the above-mentioned method embodiments can be carried out for a heritage community as a whole, or based on a specific scenario of a heritage community.

[0153] This embodiment selects three typical action scenarios, namely the historical building protection and repair project, the riverside reception room operation, and the filming of a film and television drama, to analyze the social network characteristics of the actors in different scenarios and interpret their action logic.

[0154] The first is the protection and renovation project. The 2020 renovation project is the largest in the history of the historic building. During the renovation process, the official protection goal of "unifying the facade style of the historic buildings along the Suzhou River" diverged from the actual living needs of the community residents. The residents spontaneously formed a volunteer team to collect demands from the building, learn heritage knowledge, and use various methods to engage in dialogue with the government. Thus, the local community's heritage discourse gradually formed.

[0155] The second is the operation of the riverside reception room. After the renovation project, the former neighborhood committee office space on the second floor was transformed into a "riverside reception room" open to the public, which is operated by Dayu Construction. Since the reception room is located inside the building, many residents are worried that a large number of external visitors and resident social organizations will affect the owners' private space. While the establishment of the reception room attracts external forces, it also arouses residents' attention to the right to speak on heritage, becoming an opportunity to form community cohesion.

[0156] The third is filming of TV dramas and movies. The historic building has become a popular location for filming due to its unique historical architectural style. Since the release of many well-known dramas in 2010, the building's property management committee has gradually realized the positive impact of filming on enhancing the building's popularity and economic value. Although the revenue from filming is used to subsidize the protection and repair of the building, not all residents support this approach. This situation reflects the attitude of the local community in balancing daily life and cultural communication.

[0157] Based on the survey data of these three scenarios, the relationship network matrix was constructed.

[0158] In this embodiment, the meaning of the value in the relationship network matrix is ​​defined as:

[0159] A value of 2 indicates that there is a long-term connection between the two nodes (i.e., two types of actors), a value of 1 indicates a short-term connection, and a value of 0 indicates that there is no connection between the actors.

[0160] In this embodiment, the meaning of directed is defined as:

[0161] The value that node A points to node B may be different from the value that node B points to node A.

[0162] In the following relationship network matrix example, the row header (i.e., the first column from the left) corresponds to the starting node, and the column header (i.e., the first row from the top) corresponds to the ending node.

[0163] Based on the above description, the obtained repair project scenario relationship network matrix is ​​as follows.

[0164] S1 S2 S3 S4 S5 S6 S7 S8 S9 S10 S11 S12 S13 S14 S17 S18 S19 S1 - 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 2 S2 1 - 2 2 2 2 1 2 2 1 2 1 2 2 1 1 1 S3 0 2 - 2 1 0 0 2 1 2 1 0 1 1 0 0 0 S4 0 0 2 - 2 2 2 2 2 2 2 2 0 2 1 0 0 S5 1 1 1 2 - 1 1 2 2 1 1 1 1 1 1 1 2 S6 0 0 0 2 2 - 2 2 2 0 1 2 1 1 0 0 0 S7 0 0 1 2 2 1 - 2 2 0 0 1 1 1 1 2 1 S8 0 1 2 2 2 1 1 - 2 1 2 2 2 2 1 0 0 S9 0 1 1 2 2 2 2 2 - 1 1 1 1 1 1 2 0 S10 0 0 2 2 0 0 0 2 0 - 0 1 0 0 0 1 0 S11 1 2 1 2 1 1 0 2 1 0 - 1 2 2 0 0 2 S12 0 0 0 2 1 1 0 2 0 2 0 - 0 2 0 0 0 S13 0 1 1 0 1 0 0 2 1 0 2 0 - 2 0 1 1 S14 0 1 1 2 2 2 2 2 2 1 2 2 2 - 0 0 0 S17 1 1 1 1 1 1 1 1 1 1 1 1 1 1 - 1 1 S18 0 2 0 0 1 0 0 0 1 0 1 0 0 0 0 - 0 S19 1 1 0 0 1 0 0 0 0 0 2 0 2 1 0 1 -

[0165] The resulting living room scene relationship network matrix is ​​as follows.

[0166] S2 S3 S4 S5 S6 S7 S8 S10 S11 S12 S15 S17 S18 S2 - 1 1 0 0 0 0 0 1 1 1 0 0 S3 2 - 2 1 0 0 2 2 2 1 2 0 0 S4 0 2 - 2 2 2 2 2 0 0 1 1 1 S5 2 1 2 - 2 2 2 2 1 1 2 1 2 S6 0 0 2 2 - 2 1 0 0 2 1 0 1 S7 0 1 2 2 2 - 2 1 0 1 2 1 2 S8 0 2 2 2 2 2 - 1 0 2 2 0 0 S10 0 2 2 1 0 0 1 - 2 2 1 0 1 S11 1 2 0 1 0 0 0 2 - 0 0 0 0 S12 0 0 0 0 0 0 0 0 0 - 0 0 0 S15 1 2 2 2 2 2 2 2 0 0 - 2 2 S17 1 2 2 2 1 2 2 1 2 2 1 - 1 S18 2 1 1 2 2 1 2 1 1 1 2 1 -

[0167] The obtained film and television drama scene relationship network matrix is ​​as follows.

[0168] S2 S3 S4 S5 S6 S7 S8 S9 S10 S11 S16 S17 S18 S20 S2 - 1 0 0 0 0 0 0 1 0 0 0 0 0 S3 0 - 1 0 0 0 1 2 0 0 0 0 0 0 S4 1 2 - 2 2 1 2 1 0 2 1 1 0 1 S5 1 1 1 - 1 1 2 1 1 1 1 1 1 1 S6 0 0 2 2 - 2 1 0 0 0 2 0 0 1 S7 0 0 1 1 1 - 1 1 0 1 1 1 1 2 S8 1 1 2 2 2 2 - 2 1 2 2 1 1 1 S9 2 2 2 0 0 0 2 - 0 2 2 0 2 2 S10 0 0 0 0 0 0 1 0 - 1 0 1 0 0 S11 0 0 1 0 1 0 2 1 0 - 1 0 0 0 S16 0 0 1 1 1 1 2 2 0 1 - 1 0 1 S17 1 1 2 2 1 2 2 1 1 2 1 - 1 1 S18 1 1 1 1 1 1 1 1 1 1 1 1 - 1 S20 0 0 1 1 1 1 1 2 0 0 1 1 1 -

[0169] Network structure (density, average path length, reciprocity index) data:

[0170] The network density is used to evaluate the closeness of the relationship between actors, reflecting the connection strength of the historical architectural heritage community; the average path length measures the correlation between actors, reflecting the convenience of information dissemination in the community; the reciprocity index indicates the mutuality of the relationship between actors. After calculation, the network density of the three scenarios of renovation project, riverside living room and film and television drama is 0.64, 0.67 and 0.65; the average path length is 1.37, 1.27 and 1.38; the reciprocity index is 0.69, 0.64 and 0.63. (Table 3)

[0171] Table 3 Comparison of the network structure index of heritage communities under three scenarios

[0172] density Average path length Mutual Index Renovation Project 0.64 1.37 0.69 Riverside Living Room 0.67 1.27 0.64 Film and TV series 0.65 1.38 0.63

[0173] The data show that the historic building has formed a relatively close and stable heritage community (the network density in the three scenarios is higher than 0.5). In the renovation project, the network reciprocity is high, indicating that the cooperation between the community and the government during the renovation has significantly enhanced reciprocity. In the riverside living room scenario, the network is more uniform and the information flow is stronger, thanks to the positive role of social organizations in operation. In the film and television drama scenario, the average path length is longer and the reciprocity is lower, indicating that the power of the property management committee alone is still insufficient in promoting information exchange and mutual assistance in the heritage display stage.

[0174] Network position (degree centrality, betweenness centrality) data:

[0175] When actors are at the core of a social network, they are more likely to establish connections with most members, thus promoting collective action more effectively. Degree centrality reflects the importance and prestige of actors in the network and is used to judge the subjects with core influence in the heritage community. Betweenness centrality reflects the resource control ability and competitive advantage of actors. In this historic building, actors with high betweenness centrality play the role of weak ties (in community governance research, weak ties (bridgingties) have lower interaction frequency and intensity than strong ties (bonding ties), but have more advantages in obtaining information, creating new connections, and obtaining resources), and are key intermediaries in promoting the formation of heritage communities.

[0176] Degree centrality index analysis (see Figure 8 , where the larger the dot and the darker the color, the stronger the degree centrality; the darker the line color, the stronger the connection between the nodes; the arrow indicates the direction from the sender to the receiver. Due to slightly different network sizes, the size and color of the dots between different scenarios are not comparable, but the size of the dots in the same scenario is meaningful) The results show that:

[0177] (1) In the renovation project, the property management committee and the neighborhood committee are the core actors. The property management, one of the three pillars of community governance, has been absent for a long time.

[0178] (2) In the operation of the reception room, the neighborhood committee as the direct manager and the owners as the core stakeholders are the most important actors.

[0179] (3) Film and television drama productions reflect the resources and influence of the property management committee.

[0180] Analysis of betweenness centrality index (see Fig. 9 )The results show that:

[0181] (1) During the renovation project, the owners and the district government played the most important bridging role, connecting all actors and promoting information exchange between the community, government, and enterprises.

[0182] (2) In the Riverside Living Room, the intermediary centrality between owners and social organizations is the highest. Owners not only play a role within the community, but can also connect with external actors and expand resource networks. Social organizations try to connect more actors through activities, but this does not necessarily promote the formation of a heritage community.

[0183] (3) In the filming of film and television dramas, the bridge role of the property management committee is the most prominent, further reflecting its important influence in the formation of heritage communities.

[0184] By comprehensively comparing the degree centrality and betweenness centrality indicators of different actors in the three scenarios, we can draw the following conclusions:

[0185] (1) In the local community, property owners (property committees) are the core actors in heritage communities and play a key role in community formation and development, while lessees and tenants have a lower level of participation.

[0186] (2) The importance of different government departments varies in each context, but the neighborhood committee is always the core actor.

[0187] (3) Although corporate organizations participate in different ways in different contexts, they are all an indispensable and important force in heritage communities.

[0188] From an overall perspective, this embodiment also determines 39 key subjects based on a general survey to distribute questionnaires. In order to ensure the accuracy of questionnaire data collection, a one-to-one assistance method is adopted to help the respondents understand the questions and answer them. Based on the relationship data obtained from the questionnaire survey and interviews, the network relationship matrix (Nx) of the heritage community is obtained after processing.

[0189] refer to Fig.10 The network position analysis results of different actors provided provide an overall analysis of the heritage community network from two aspects: network structure and network position:

[0190] 1) Network structure analysis: After calculation, the network density of the heritage community is 0.64, the average path length is 1.37, and the reciprocity index is 0.69. This shows that a close-knit and stable heritage community has been formed around this outstanding historical building.

[0191] 2) Network position analysis: The results of the degree centrality index analysis show that the property owners' committee and the neighborhood committee are the most core actors. The results of the intermediary centrality index analysis show that the owners and the district government play the most important role as a bridge, connecting all actors and promoting information exchange between the community, government and enterprises.

[0192] 3) According to the above analysis results, the property owners' committee and the neighborhood committee should be included in the heritage community protection and renewal action. In the implementation of the heritage community protection and renewal project, in addition to being led by the government, the resources of the owners of the residential heritage sites can also be fully utilized to jointly promote the protection action.

[0193] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0194] Corresponding to the heritage community protection and renewal method based on social network analysis described in the above embodiment, Figure 2 A structural block diagram of a heritage community protection and renewal device based on social network analysis provided in an embodiment of the present application is shown. For ease of explanation, only the parts related to the embodiment of the present application are shown.

[0195] Reference Figure 2 , the device comprises:

[0196] A data module 201 is used to obtain survey data of a target heritage community, wherein the survey data includes at least two categories of actor data;

[0197] A matrix module 202 is used to construct a relationship network matrix between the actors according to the survey data, wherein the relationship network matrix is ​​a directed multi-valued matrix and includes network structure parameters and network position parameters;

[0198] The operation module 203 is used for:

[0199] It is determined that the relationship network matrix meets the preset heritage community stability standards, then:

[0200] Based on the network structure parameters, the development degree data of the target heritage community is obtained, and based on the network position parameters, the core actors of the target heritage community are obtained;

[0201] The action module 204 is used to determine an update action plan for the target heritage community based on the development level data and the core actors.

[0202] In an optional embodiment, the matrix module 202 includes:

[0203] The node unit is used to construct the nodes of the relationship network matrix based on the actor types of the target heritage community, and to construct the connections between the nodes based on the relationships between the actors of different categories to obtain the relationship network matrix.

[0204] In an optional implementation, the stability standard of the heritage community is: the density of the relationship network matrix is ​​greater than a preset threshold;

[0205] The density is used to quantify the closeness of the connection between actors; the density is positively correlated with the number of relationships actually existing in the relationship network matrix, and the density is negatively correlated with the upper limit of the theoretical number of relationships in the relationship network matrix.

[0206] In an optional embodiment, the development degree data includes at least one of density, average distance and reciprocity index;

[0207] Among them, the average distance is used to quantify the degree of association between actors, and the average distance is positively correlated to the distance between any two nodes in the relationship network matrix; the reciprocity index is used to quantify the mutuality of the relationship between actors, and the reciprocity index is positively correlated to the number of reciprocal node pairs in the relationship network matrix, and the reciprocity index is negatively correlated to the theoretical upper limit of the number of tuples in the relationship network matrix.

[0208] In an optional implementation, the core actor includes an influence actor; the calculation module 203 includes:

[0209] Impact Units for:

[0210] Calculate the degree centrality of the designated node according to the relationship network matrix; wherein the degree centrality is positively correlated with the number of relationships from non-designated nodes to the designated node;

[0211] The designated node whose degree centrality satisfies a preset degree condition is determined as the influential actor.

[0212] In an optional implementation, the core actor includes a weakly connected actor; the operation module 203 includes:

[0213] Weakly linked units are used to:

[0214] Calculating the betweenness centrality of the designated node according to the relationship network matrix; wherein the betweenness centrality is positively correlated with the shortcut probability, and the shortcut probability refers to the probability that the designated node is located on the shortcut between any two non-designated nodes;

[0215] The designated node whose betweenness centrality satisfies a preset degree condition is determined as the weakly connected actor.

[0216] It should be noted that the information interaction, execution process, etc. between the above-mentioned devices / units are based on the same concept as the method embodiment of the present application. Their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.

[0217] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0218] The present application also provides a terminal device, such as Figure 3 As shown, the terminal device 30 includes: at least one processor 301, a memory 302, and a computer program 303 stored in the memory and executable on the at least one processor, and the processor implements the steps in any of the above-mentioned method embodiments when executing the computer program.

[0219] An embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in the above-mentioned method embodiments can be implemented.

[0220] An embodiment of the present application provides a computer program product. When the computer program product runs on a mobile terminal, the mobile terminal can implement the steps in the above-mentioned method embodiments when executing the computer program product.

[0221] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium can at least include: any entity or device that can carry the computer program code to the camera / terminal device, recording medium, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, RandomAccess Memory), electric carrier signal, telecommunication signal and software distribution medium. For example, a USB flash drive, a mobile hard disk, a magnetic disk or an optical disk. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electric carrier signals and telecommunication signals.

[0222] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0223] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0224] In the embodiments provided in the present application, it should be understood that the disclosed devices / network equipment and methods can be implemented in other ways. For example, the device / network equipment embodiments described above are merely schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0225] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0226] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A heritage community protection and renewal method based on social network analysis, characterized in that: include: Obtaining survey data of the target heritage community, the survey data including at least two categories of actor data; According to the survey data, a relationship network matrix between the actors is constructed, wherein the relationship network matrix is ​​a directed multi-valued matrix and includes a network structure parameter and a network position parameter; It is determined that the relationship network matrix meets the preset heritage community stability standards, then: Based on the network structure parameters, the development degree data of the target heritage community is obtained, and based on the network position parameters, the core actors of the target heritage community are obtained; A renewal action plan for the target heritage community is determined based on the development level data and the core actors.

2. The heritage community protection and renewal method based on social network analysis as claimed in claim 1, characterized in that: The step of constructing the relationship network matrix between the actors according to the survey data comprises: The nodes of the relationship network matrix are constructed based on the actor types of the target heritage community, and the connections between the nodes are constructed based on the relationships between the actors of different categories to obtain the relationship network matrix.

3. The heritage community protection and renewal method based on social network analysis according to claim 1 or 2, characterized in that: The stability standard of the heritage community is: the density of the relationship network matrix is ​​greater than a preset threshold; The density is used to quantify the closeness of the connection between actors; the density is positively correlated with the number of relationships actually existing in the relationship network matrix, and the density is negatively correlated with the upper limit of the theoretical number of relationships in the relationship network matrix.

4. The heritage community protection and renewal method based on social network analysis as claimed in claim 3, characterized in that: The development degree data includes at least one of density, average distance and reciprocity index; Among them, the average distance is used to quantify the degree of association between actors, and the average distance is positively correlated to the distance between any two nodes in the relationship network matrix; the reciprocity index is used to quantify the mutuality of the relationship between actors, and the reciprocity index is positively correlated to the number of reciprocal node pairs in the relationship network matrix, and the reciprocity index is negatively correlated to the theoretical upper limit of the number of tuples in the relationship network matrix.

5. The heritage community protection and renewal method based on social network analysis as claimed in claim 1, 2 or 4, characterized in that: The core actors described include influence actors; The step of obtaining the core actors of the target heritage community based on the network location parameters comprises: Calculate the degree centrality of the designated node according to the relationship network matrix; wherein the degree centrality is positively correlated with the number of relationships from non-designated nodes to the designated node; The designated node whose degree centrality satisfies a preset degree condition is determined as the influential actor.

6. The heritage community protection and renewal method based on social network analysis as claimed in claim 1, 2 or 4, characterized in that: The core actors include weakly connected actors; The step of obtaining the core actors of the target heritage community based on the network location parameters comprises: Calculating the betweenness centrality of the designated node according to the relationship network matrix; wherein the betweenness centrality is positively correlated with the shortcut probability, and the shortcut probability refers to the probability that the designated node is located on the shortcut between any two non-designated nodes; The designated node whose betweenness centrality satisfies a preset degree condition is determined as the weakly connected actor.

7. A heritage community protection and renewal device based on social network analysis, characterized in that: include: A data module, used for obtaining survey data of the target heritage community, wherein the survey data includes actor data of at least two categories; A matrix module, used to construct a relationship network matrix between the actors according to the survey data, wherein the relationship network matrix is ​​a directed multi-valued matrix and includes network structure parameters and network position parameters; Computational modules for: It is determined that the relationship network matrix meets the preset heritage community stability standards, then: Based on the network structure parameters, the development degree data of the target heritage community is obtained, and based on the network position parameters, the core actors of the target heritage community are obtained; An action module is used to determine an update action plan for the target heritage community based on the development level data and the core actors.

8. A terminal device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 6 is implemented.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

10. A computer program, characterized in that When the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

Images