A rural construction evaluation method and system based on new rural talent culture

Abstract

This invention relates to the field of data processing technology, and more particularly to a method and system for evaluating rural development based on a new rural elite culture. The method includes the following steps: S1: Obtaining a dataset of rural elite actions and dividing it into fast-timescale action data and slow-timescale action data; S2: Using the rural elite value resonance formula, obtaining the comprehensive value of each action based on the fast-timescale and slow-timescale action data; S3: Constructing a fast-value network diagram and a slow-value network diagram based on the comprehensive value of each action and its corresponding geographic location. This invention introduces a mechanism to distinguish between fast-timescale and slow-timescale action data, structurally decomposing rural elite actions from a time dimension, enabling simultaneous modeling and analysis of digital immediate actions and offline long-term actions within a unified framework.

Description

Technical Field

[0001] This invention relates to the field of data processing technology, and in particular to a method and system for evaluating rural development based on the new culture of local elites. Background Technology

[0002] Against the backdrop of ongoing rural revitalization and grassroots governance, rural social structures, cultural transmission methods, and resource organization are all exhibiting significant diversification and dynamism. Among these, the new rural elite, as a crucial link between traditional rural culture and modern social resources, is playing an increasingly prominent role in the coordination of rural public affairs, the dissemination of cultural values, and the integration of social capital.

[0003] Existing research and practice often focus on a single dimension when evaluating the participation of local elites in rural development, such as the number of activities, the scale of financial investment, or short-term impact. While such evaluation methods can reflect some visible results, they generally ignore the value differences of local elites' actions at different time scales, and in particular, they fail to simultaneously depict the intrinsic relationship between the immediate diffusion effect of digital actions and the long-term cultural accumulation effect formed by offline physical actions.

[0004] With the widespread application of digital technology in rural governance and cultural dissemination, the actions of local notables are increasingly exhibiting a distinct dual-track characteristic: on the one hand, online participation, information dissemination, and mobilization through digital platforms can generate high levels of social attention and resource aggregation in a short period; on the other hand, offline actions based on face-to-face interaction and physical spaces often reveal their value gradually through continuous practice, exhibiting a delayed and cumulative effect over time. The differences in the forms of expression, duration of action, and value release paths of these two types of actions make it difficult for traditional linear evaluation models to accurately reflect their true contributions. Summary of the Invention

[0005] To overcome the shortcomings of a single evaluation dimension and conflation of values, this invention provides a rural construction evaluation method and system based on the new rural elite culture.

[0006] The technical implementation scheme of this invention is: a rural construction evaluation method based on the new rural elite culture, comprising the following steps: S1: Obtain the rural gentry action dataset and divide the gentry action dataset into fast timescale action data and slow timescale action data; S2: Based on the fast-timescale action data and slow-timescale action data, the comprehensive value of each hometown gentry's action is obtained using the hometown gentry value resonance formula; S3: Based on the comprehensive value of each hometown worthy's actions and their corresponding geographical location, construct a fast value network map and a slow value network map; S4: Classify the node types according to the fast value network diagram and the slow value network diagram; S5: Analyze and compare the topological characteristics of fast value network diagrams and slow value network diagrams to generate a collaborative diagnostic report on the construction status and development resilience of rural areas.

[0007] Preferably, the step of acquiring a dataset of actions by local notables in rural areas and dividing the dataset into fast-timescale action data and slow-timescale action data includes: acquiring a dataset of actions by local notables in rural areas, wherein the dataset contains fast-timescale action data and slow-timescale action data; the fast-timescale action data is the data of actions by local notables recorded through a digital platform, and the complete behavioral cycle of the actions is within a first preset time threshold; the slow-timescale action data is the data of actions by local notables completed through offline physical space and face-to-face interaction, and the period during which the value of the actions is demonstrated exceeds a second preset time threshold.

[0008] Preferably, the step of obtaining the comprehensive value of each hometown gentry's action using the hometown gentry value resonance formula based on the fast-timescale action data and the slow-timescale action data includes: obtaining the immediate effect contribution of digital hometown gentry based on the fast-timescale action data; obtaining the long-term value contribution of slow-timescale action subjects based on the slow-timescale action data, wherein the slow-timescale action subjects are value contributors whose actions are mainly physical in offline spaces; and obtaining the synergistic factor that mutually stimulates fast and slow values ​​through a synergistic resonance function, wherein the hometown gentry value resonance formula is: ; In the formula, The comprehensive value of the actions of local notables; The elapsed time since the completion of the action; The initial value for rapid response is the immediate contribution of digital hometown worthy individuals. The final value of slow sedimentation is the long-term value contribution of slow-scale actors. The natural decay cycle of the effects of digital actions; The cycle for the realization and manifestation of the value of physical actions; It is a cooperating factor.

[0009] Preferably, obtaining the synergistic factor that mutually stimulates the values ​​of fast and slow actions through the synergistic resonance function includes: acquiring synergistic-related data, which includes records of the use of digital tools by slow-scale action subjects, interaction records between fast and slow action subjects, and cultural depth assessment data; obtaining the catalytic rate of fast-scale action on slow-scale action using the catalytic rate calculation formula based on the synergistic-related data, and obtaining the deepening rate of slow-scale action on fast-scale action using the deepening rate calculation formula based on the synergistic-related data, wherein the synergistic resonance function is: ; In the formula, As a cooperating factor; The catalytic rate of fast-timescale actions on slow-timescale actions; The rate at which slow-timescale actions deepen upon fast-timescale actions; This is the cooperative gain coefficient.

[0010] Preferably, the step of obtaining the catalytic rate of fast-timescale action to slow-timescale action using the catalytic rate calculation formula based on the synergistic correlation data, and obtaining the deepening rate of slow-timescale action to fast-timescale action using the deepening rate calculation formula based on the synergistic correlation data, includes: wherein the catalytic rate calculation formula is: ; In the formula, The catalytic rate of fast-timescale actions on slow-timescale actions; The number of people who ultimately adopt digital tools for slow-scale actions; The number of people who are initially rejecting digital tools as slow-scale actors; To adapt the time constant of digital tools to slow-scale actors; ; In the formula, The rate at which slow-timescale actions deepen upon fast-timescale actions; In the first In terms of cultural depth, the amount of cultural depth enhancement from slow-timescale actions to fast-timescale actions; In the first Weighting in the depth dimension of culture.

[0011] Preferably, the construction of a fast value network graph and a slow value network graph based on the comprehensive value of each local notable's actions and their corresponding geographic locations includes: the fast value network graph being a network graph of local notable movements that brings value to actions on a fast timescale; the slow value network graph being a network graph of local notable movements that brings value to actions on a slow timescale; obtaining the geographic locations of each rural area included in each local notable's actions; using the geographic locations of each rural area as graph nodes; constructing connecting edges between graph nodes based on the flow relationships of local notables, resource flow relationships, information dissemination relationships, and cooperative relationships; constructing node vectors for each node; the node vectors include fast value feature vectors, slow value feature vectors, synergy coefficient feature vectors, and total comprehensive value feature vectors; constructing edge weights between nodes based on the catalytic rate and resource flow speed to generate a fast value network graph; constructing edge weights between nodes based on the deepening rate and cooperation duration to generate a slow value network graph; the fast value network graph and the slow value network graph are a two-layer value network structure based on the same and the same group of rural area nodes, under different value generation mechanisms.

[0012] Preferably, the step of classifying the node types according to the fast value network graph and the slow value network graph includes: obtaining the centrality index of each node in the fast value network graph and the slow value network graph; the centrality index is degree centrality, weighted degree, betweenness centrality and proximity centrality; classifying the nodes into dual-core driven type, deep sedimentation type, fast connection type and edge participation type according to the centrality index of each node in the fast value network graph and the slow value network graph; and obtaining the network resilience index of the rural unit through the resilience calculation formula.

[0013] Preferably, obtaining the network resilience index of the rural unit through the resilience calculation formula includes: the resilience calculation formula is the ratio of the average path length of the slow network to the clustering coefficient of the fast network; when the time resilience ratio exceeds a preset resilience ratio threshold, an early warning of the risk of rapid collapse is generated, and a connection bridge is established between the central node of the fast network and the edge node of the slow network.

[0014] Preferably, the analysis and comparison of the topological characteristics of the fast value network graph and the slow value network graph to generate a collaborative diagnostic report on the construction status and development resilience of rural areas includes: matching nodes of the fast connection type with nodes of the deep accumulation type and recommending joint projects; monitoring the fast network clustering coefficient, and when the fast network clustering coefficient is greater than a preset clustering coefficient and the average path length of the slow network is greater than a preset path length, establishing slow connections between the central nodes of the fast network; and when the time resilience ratio is detected to be continuously decreasing, generating suggestions for constructing dual-core driven type nodes.

[0015] Preferably, a rural development evaluation system based on the new rural elite culture includes: The data acquisition module is used to acquire a dataset of actions of local notables in rural areas and to divide the dataset into fast-timescale action data and slow-timescale action data. The action value calculation module is used to obtain the comprehensive value of each hometown worthy's action based on the fast timescale action data and the slow timescale action data, using the hometown worthy value resonance formula. The collaborative computing submodule is used to obtain the collaborative factor that mutually stimulates the fast and slow values ​​through the collaborative resonance function; The deepening calculation submodule is used to obtain the catalytic rate of fast timescale action to slow timescale action using the catalytic rate calculation formula based on the synergistic correlation data, and to obtain the deepening rate of slow timescale action to fast timescale action using the deepening rate calculation formula based on the synergistic correlation data. The network generation module is used to construct fast value network maps and slow value network maps based on the comprehensive value of the actions of various local notables and their corresponding geographical locations. The node type classification module is used to classify the node types according to the fast value network graph and the slow value network graph; The diagnostic analysis module is used to analyze and compare the topological characteristics of fast value network diagrams and slow value network diagrams, and generate a collaborative diagnostic report on the construction status and development resilience of rural areas.

[0016] The beneficial effects of this invention are: 1. This invention introduces a mechanism to distinguish between fast-scale and slow-scale action data, and structurally decomposes the actions of local gentry from a time dimension, so that digital immediate actions and offline long-term actions can be modeled and analyzed simultaneously under a unified framework, thereby avoiding the value bias problem caused by evaluation on a single time scale. 2. This invention constructs a value resonance formula for local gentry that includes a fast-response decay term and a slow-sedimentation growth term, and introduces a synergistic factor on this basis, thereby achieving a comprehensive quantification of the value of different types of local gentry actions over time. This model not only reflects the dominant role of various actions at different stages, but also depicts the synergistic effect of mutual stimulation and amplification between fast and slow actions, making the evaluation results closer to the value generation law in the real process of rural construction. 3. This invention constructs fast value network diagrams and slow value network diagrams based on the correlation between rural geospatial location and the actions of local notables, forming a two-layer value network structure on the basis of the same nodes. Through comparative analysis of the two types of networks in terms of topological characteristics, connection strength, and node centrality, it intuitively reveals the spatial distribution differences of different value generation mechanisms and their structural complementarity, providing technical support for identifying key nodes and weak areas, and thereby realizing the five major revitalizations of local notable culture and promoting the development of a local notable culture industry model. Attached Figure Description

[0017] Figure 1 This is a flowchart of a rural construction evaluation method based on the new rural elite culture of the present invention; Figure 2 This is a schematic diagram of the structure of a rural construction evaluation system based on the new rural elite culture of the present invention. Detailed Implementation

[0018] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0019] Example 1: A rural development evaluation method based on the new rural elite culture, such as... Figure 1 As shown, it includes the following steps: S1: Obtain the rural gentry action dataset and divide the gentry action dataset into fast timescale action data and slow timescale action data; S2: Based on the fast-timescale action data and slow-timescale action data, the comprehensive value of each hometown gentry's action is obtained using the hometown gentry value resonance formula; S3: Based on the comprehensive value of each hometown worthy's actions and their corresponding geographical location, construct a fast value network map and a slow value network map; S4: Classify the node types according to the fast value network diagram and the slow value network diagram; S5: Analyze and compare the topological characteristics of fast value network diagrams and slow value network diagrams to generate a collaborative diagnostic report on the construction status and development resilience of rural areas.

[0020] A dataset of actions by local notables in rural areas is obtained. The dataset includes fast-timescale action data and slow-timescale action data. The fast-timescale action data is the action data of local notables recorded through a digital platform, and the complete behavioral cycle of the action is within a first preset time threshold. The slow-timescale action data is the action data of local notables completed in offline physical space and face-to-face interaction, and the period during which the value of the action is demonstrated exceeds a second preset time threshold.

[0021] It should be explained that the acquisition of the rural gentry action dataset is used to comprehensively reflect the actual actions of different gentry entities in rural governance, industrial revitalization, and public affairs participation. The dataset includes both data records formed on digital platforms and physical action data that occur offline, to ensure the integrity and representativeness of the data sources. Among them, fast-timescale action data mainly comes from the recording results of digital platforms, such as operation logs, participation frequency, and response time information collected through rural governance platforms, gentry collaboration systems, or public affairs release systems. The significant feature of this type of gentry action is that the complete behavioral cycle of its implementation is limited to a first preset time threshold, that is, from the initiation of the action, execution to the initial feedback of the effect, it is all completed within a short time scale, which can quickly have an immediate impact on the state of rural governance or public perception. Slow-timescale action data mainly comes from physical action processes completed offline and through face-to-face interaction, such as gentry participation in village planning consultation, infrastructure co-construction, and the organization of cultural heritage activities. Such actions are typically not evaluated primarily based on immediate feedback; their value requires long-term accumulation and manifestation, thus exceeding the second preset time threshold. Classifying this type of data as slow-timescale action data effectively characterizes the profound impact of long-term participation by local elites on rural development. The local elites include, for example, all young people reflected online in real time and the elderly group passing on traditions offline. In this implementation, the local elite action dataset includes digital action records: social media posts, short videos, online crowdfunding / donation records, online volunteer activity check-ins, and interaction logs from WeChat groups and community platforms; offline physical action records: face-to-face volunteer services, on-site donations of funds and materials, cultural heritage activities, site construction and renovation records, and offline collaborative meeting records; and related collaborative data: logs of slow-timescale participants using digital tools, interaction records between fast and slow participants, and cultural depth... The evaluation scale results; geospatial data: latitude and longitude, administrative divisions and functional zone types of various rural areas; wherein the first preset time threshold is used to distinguish between immediate response actions and long-term accumulation actions. In this embodiment, the first preset time threshold is obtained by statistical analysis of historical village elders' action samples. Specifically, it involves statistically analyzing the distribution of time required from the initiation of past village elders' actions to the generation of initial perceived effects, and selecting the upper limit of time covering most immediate actions as the first preset time threshold. The first preset time threshold is dynamically adjusted according to different rural governance scenarios, but its acquisition method is always based on the objective statistical results of historical action data, that is, constructing a representative historical action sample library.The sample database should cover various completed and traceable community elders' actions recorded in the past two years, with a sample size of at least 100 cases to ensure the stability of the statistical results. Each sample record should include the action initiation time, the substantive completion time, and the feedback time when the first quantitative effect is generated. Then, for each record in the sample database, its complete behavioral cycle is calculated, that is, the duration from the initiation of the action to its substantive completion. Next, based on expert experience or preliminary screening rules, an immediate response action subset is divided from the entire sample. The complete behavioral cycles of all actions in this subset are statistically analyzed, and their cumulative distribution curve is plotted. The final value of the first preset time threshold is located at a specific quantile of the cumulative distribution curve. In this embodiment, the 85th percentile is selected. The second preset time threshold is used to define the time boundary for the transformation of the value of community elders' actions from immediate visibility to long-term manifestation. In this embodiment, the second preset time threshold is determined by combining the rural construction assessment cycle and the value manifestation characteristics of slow-scale actions. Specifically, based on the rural construction planning cycle, the effect assessment results of historical slow-scale actions at different time nodes are compared and analyzed. The time nodes that can significantly distinguish between short-term fluctuations and long-term stable contributions are selected as the second preset time threshold. That is, typical long-term action samples are selected, such as long-cycle projects like the inheritance of rural cultural heritage. These samples must have been completed and have gone through at least several complete assessment cycles. At each assessment node, the value manifestation degree of the action needs to be quantitatively scored using a structured assessment tool. The time span from the completion of the action to the first time its value assessment score exceeds a certain high standard threshold is recorded as the value manifestation cycle of the action.

[0022] The immediate impact contribution of digital hometown elites is obtained based on the fast-timescale action data; the long-term value contribution of slow-timescale action subjects is obtained based on the slow-timescale action data, wherein the slow-timescale action subjects are value contributors whose actions are mainly offline physical spaces; and the synergistic factor that mutually stimulates fast and slow values ​​is obtained through a synergistic resonance function, wherein the hometown elite value resonance formula is: ; In the formula, The comprehensive value of the actions of local notables; The elapsed time since the completion of the action; The initial value for rapid response is the immediate contribution of digital hometown worthy individuals. The final value of slow sedimentation is the long-term value contribution of slow-scale actors. The natural decay cycle of the effects of digital actions; The cycle for the realization and manifestation of the value of physical actions; It is a cooperating factor.

[0023] It should be explained that, based on the fast-timescale action data, the immediate impact contribution of digital village gentry is calculated. This immediate impact contribution characterizes the short-term observable influence of village gentry participating in rural development through digital platforms. In this embodiment, the immediate impact contribution is obtained by quantifying indicators such as changes in participation, information dissemination scope, and problem response efficiency shortly after the completion of a fast-timescale action, and the quantification results are normalized and used as the initial value for fast response. For the slow-timescale action data, the long-term value contribution of slow-timescale action subjects is calculated. These slow-timescale action subjects are value contributors who primarily implement physical actions offline. The long-term value contribution reflects the stable impact of village gentry actions on rural industrial structure, social networks, or cultural identity over a long period. In this embodiment, the long-term value contribution is obtained by cumulatively analyzing the continuous effects of slow-timescale actions over multiple evaluation periods, and the contribution level in its stable state is used as the final value for slow sedimentation. The natural decay period of the effects of digital operations is obtained by fitting and analyzing the effect change curves of historical fast-timescale operations at different points in time, and selecting the time parameter that minimizes the fitting error as the natural decay period of the digital operations. The period for the manifestation of the value of physical actions is obtained by analyzing the effect growth curves of slow-timescale actions over multiple evaluation periods and determining the time span required for the value to go from initial manifestation to stability as the period for the manifestation of the value of physical actions. The synergy factor is used to characterize the synergistic resonance relationship between fast and slow timescale values. In this embodiment, the synergy factor is calculated comprehensively based on the degree to which fast-timescale actions trigger slow-timescale actions and the degree to which slow-timescale actions amplify the propagation effect of fast-timescale actions. When the two types of actions are strongly correlated in terms of time and objective, the value of the synergy factor is increased accordingly; when the two are independent or weakly correlated, the value of the synergy factor is decreased, thereby preventing the value of a single action from being excessively amplified.

[0024] Acquire synergy-related data, including records of slow-scale action subjects using digital tools, interaction records between fast and slow-scale action subjects, and cultural depth assessment data; calculate the catalytic rate of fast-scale action on slow-scale action using the catalytic rate calculation formula based on the synergy-related data, and calculate the deepening rate of slow-scale action on fast-scale action using the deepening rate calculation formula based on the synergy-related data. The synergy resonance function is: ; In the formula, As a cooperating factor; The catalytic rate of fast-timescale actions on slow-timescale actions; The rate at which slow-timescale actions deepen upon fast-timescale actions; This is the cooperative gain coefficient.

[0025] It should be explained that the records of digital tools used by the slow-scale action subjects reflect the process by which local notables, who originally conducted their actions primarily offline and in physical spaces, gradually introduced or accepted digital tools under the influence of fast-scale actions. These records originate from login logs, function usage records, or authorized operational behavior statistics of the rural digital platform. The interaction records between the fast and slow-scale action subjects describe the collaboration, communication, or joint actions between them on the same rural development issue. These interaction records are obtained through collaborative events on the digital platform, online and offline joint activity registrations, or manually confirmed collaborative archives. The cultural depth assessment data reflects the reverse impact of slow-scale actions on fast-scale actions in terms of values, cultural identity, or behavioral norms. This data is quantified through periodic cultural assessment questionnaires, behavioral consistency analysis, or expert evaluation results. The data is acquired and broken down according to a preset cultural depth dimension. In this embodiment, the synergistic gain coefficient is used to adjust the amplification degree of the synergistic effect in the overall value assessment. Its value is set according to the level of importance attached to the degree of synergy between fast and slow time scale actions in rural construction. Specifically, by conducting sensitivity analysis on historical assessment results, the parameter value that makes the change of synergistic factors most consistent with the actual rural construction results is selected as the synergistic gain coefficient. Through the above-mentioned synergistic resonance function, while maintaining the independent value characteristics of fast time scale actions and slow time scale actions, the synergistic amplification effect formed by the two in the process of time evolution can be objectively reflected, thereby providing a reliable basis for synergistic adjustment for the comprehensive value assessment of subsequent hometown gentry actions.

[0026] The formula for calculating the catalytic rate is: ; In the formula, The catalytic rate of fast-timescale actions on slow-timescale actions; The number of people who ultimately adopt digital tools for slow-scale actions; The number of people who are initially rejecting digital tools as slow-scale actors; To adapt the time constant of digital tools to slow-scale actors; ; In the formula, The rate at which slow-timescale actions deepen upon fast-timescale actions; In the first In terms of cultural depth, the amount of cultural depth enhancement from slow-timescale actions to fast-timescale actions; In the first Weighting in the depth dimension of culture.

[0027] It should be explained that, based on the aforementioned synergistic data, the catalytic rate calculation formula is used to obtain the catalytic rate of fast-timescale actions on slow-timescale actions. The catalytic rate is used to characterize the facilitating effect of fast-timescale actions in promoting the acceptance of digital tools by slow-timescale action subjects. The number of slow-scale action subjects who ultimately adopt digital tools is obtained by statistically analyzing their digital tool usage at the end of the complete assessment cycle. The number of slow-scale actors who initially rejected digital tools was obtained through a survey of their willingness to use digital tools during the initial phase of the assessment. The time constant for slow-scale actors to adapt to digital tools was obtained by fitting and analyzing the curves of the proportion of digital tool acceptance by slow-scale actors at different time points. The value of reflects the average time characteristic of slow-scale actors from rejecting to adapting to digital tools; the catalytic rate can dynamically reflect the strength of the promotion of fast-scale actions on the behavioral changes of slow-scale actors. Based on the catalytic rate, the deepening rate of slow-timescale actions on fast-timescale actions is further obtained using the deepening rate calculation formula based on the aforementioned synergistic correlation data. The deepening rate characterizes the reverse positive effect of slow-timescale actions on fast-timescale actions at the cultural level; the cultural depth dimension in this embodiment includes dimensions of rural cultural identity, degree of consensus on public values, and stability of behavioral norms. In the first In terms of cultural depth, the improvement of cultural depth by slow-timescale actions on fast-timescale actions is obtained by comparing the difference in cultural-related assessment results before and after the intervention of fast-timescale actions. In the first The weights for each cultural depth dimension are preset based on the importance of different cultural dimensions in the goals of rural development, determined through expert scoring or historical evaluation experience, and satisfy the normalization constraint that the sum of each weight is 1.

[0028] The fast value network graph is a network graph of the value generated by the actions of local gentry on a fast timescale; the slow value network graph is a network graph of the value generated by the actions of local gentry on a slow timescale. The geographic locations of the rural areas involved in each action of local gentry are obtained; and the geographic locations of each rural area are used as graph nodes. Connection edges between graph nodes are constructed based on the relationships of local gentry movement, resource flow, information dissemination, and cooperation. Node vectors are constructed for each node; the node vectors include fast value feature vectors, slow value feature vectors, synergy coefficient feature vectors, and total comprehensive value feature vectors. Edge weights between nodes are constructed based on the catalytic rate and resource flow speed to generate the fast value network graph; edge weights between nodes are constructed based on the deepening rate and cooperation duration to generate the slow value network graph. The fast value network graph and the slow value network graph are two-layer value network structures based on the same and the same group of rural area nodes, under different value generation mechanisms.

[0029] It should be explained that, in this embodiment, the fast value network diagram is a network diagram of the value brought by fast-timescale actions of local gentry movements, used to reflect the spread and connection of rapid value generated through digital platforms and online collaboration in rural areas; the slow value network diagram is a network diagram of the value brought by slow-timescale actions of local gentry movements, used to reflect the accumulation and expansion of long-term value mainly through offline physical space and face-to-face interaction in rural areas. Both maintain the same node set, but differ in edge weight construction mechanism and value generation logic, thus jointly forming a two-layer value network structure. First, the geographical spatial locations of the rural areas involved in each local gentry action are obtained, wherein the geographical spatial locations... The network graph uses administrative division codes, geographic coordinates, or standardized regional identifiers for representation. Each rural area is then used as a node in the network graph. After determining the nodes, connecting edges are constructed based on different types of relationships between local notables. These relationships include: the flow of local notables (or their actions) representing the movement paths of their activities or project participation across different rural areas; the allocation and transfer of funds, materials, or technology across different rural areas; the dissemination of information, experience, or policy interpretations across rural areas; and collaborative relationships representing cooperation or alliances formed by multiple local notable entities across different rural areas. Action relationships; when these four relationships exist, establish connecting edges between the corresponding two graph nodes; construct a corresponding node vector for each graph node to comprehensively describe the characteristic state of the rural area in the two-layer value network, namely, the fast value feature vector is used to characterize the value level obtained by the node in fast-timescale actions; the slow value feature vector is used to characterize the value level obtained by the node in slow-timescale actions; the synergy coefficient feature vector is used to reflect the effect of the synergy factor between fast and slow values ​​on the node; the total comprehensive value feature vector is used to represent the overall comprehensive value of the actions of the local gentry corresponding to the node after synergistic adjustment; the values ​​of the above feature vectors are all normalized or standardized by normalizing the calculation results. After processing, the following steps are taken: Edge weights between nodes are constructed based on the catalytic rate of fast-timescale actions on slow-timescale actions and the resource flow velocity. The resource flow velocity is calculated by the number or scale of resource transfers between rural areas per unit time. The edge weights in the fast value network graph are then generated by weighting the catalytic rate and the resource flow velocity. Similarly, edge weights between nodes are constructed based on the deepening rate of slow-timescale actions on fast-timescale actions and the duration of cooperation. The duration of cooperation is obtained by statistically analyzing the length of time that local elites continuously participate in the same project or topic in different rural areas.

[0030] The centrality indices of each node in the fast value network graph and the slow value network graph are obtained; the centrality indices are degree centrality, weighted degree, betweenness centrality and proximity centrality; based on the centrality indices of each node in the fast value network graph and the slow value network graph, the nodes are classified into dual-core driven type, deep sedimentation type, fast connection type and edge participation type; the network resilience index of the rural unit is obtained through the resilience calculation formula.

[0031] It should be explained that degree centrality represents the number of edges directly connecting a node; weighted degree represents the cumulative weight of the edges connecting a node; betweenness centrality represents the frequency with which a node acts as an intermediary path between different node pairs; and proximity centrality represents the average path distance from a node to other nodes in the network. These centrality indices are obtained by traversing the network graph, and the specific algorithm uses existing graph theory calculation methods. After obtaining the centrality indices of each node in the fast value network graph and the slow value network graph, the node types are classified according to the differences in their performance in the two-layer network. The dual-core driven type is the type that performs better in the fast value network. Nodes with high centrality indices in both the fast and slow value network graphs are classified as follows: Deep sedimentation type nodes have significantly higher centrality indices in the slow value network graph than in the fast value network graph; fast connection type nodes have significantly higher centrality indices in the fast value network graph than in the slow value network graph; edge participation type nodes have low centrality indices in both the fast and slow value network graphs. The threshold for type determination is determined by statistically analyzing the distribution of each centrality index across all nodes, using quantiles or the mean plus standard deviation. After classifying the node types, the network resilience index of the rural unit is obtained using a resilience calculation formula. This network resilience index measures the level of the rural development system's ability to maintain value propagation and collaborative operation in the face of structural disturbances. The parameters required in the resilience calculation formula are derived from the structural feature calculation results of the fast and slow value network graphs, and their specific values ​​are obtained through periodic updates and recalculations of the network structure, thereby achieving a dynamic assessment of the rural development status and development resilience.

[0032] The resilience calculation formula is the ratio of the average path length of the slow network to the clustering coefficient of the fast network; when the time resilience ratio exceeds the preset resilience ratio threshold, an early warning of rapid collapse risk is generated, and a connection bridge is established between the central node of the fast network and the edge node of the slow network.

[0033] It should be explained that the average path length of the slow network is obtained by statistically analyzing the shortest path lengths between any two nodes in the slow value network graph and taking the average; the clustering coefficient of the fast network is obtained by calculating the local clustering coefficients of each node in the fast value network graph and then taking the overall average; the preset resilience ratio threshold is obtained by statistically analyzing the network resilience indicators of multiple rural units within the historical evaluation period, extracting the resilience index intervals corresponding to samples that have shown structural imbalance or collaborative failure during the actual construction process, and using the upper bound or mean of these resilience index intervals as the preset resilience ratio threshold; when the calculated resilience ratio within the current evaluation period is detected... When the time resilience ratio is greater than the preset resilience ratio threshold, the rural unit is determined to be at risk of rapid collapse. The risk of rapid collapse refers to a situation where although fast-timescale actions form a high degree of aggregation, the spatial transmission efficiency of slow-timescale actions is insufficient, resulting in the inability to maintain long-term stability under external disturbances. While generating an early warning, a connection bridge is established between the fast network center node and the slow network edge node. Specifically, nodes with high centrality indices in the fast value network graph are selected as fast network center nodes, while nodes with low centrality indices in the slow value network graph are selected as slow network edge nodes, and new cooperative relationships or resource flow paths are introduced between the two.

[0034] Match nodes of the fast connection type with nodes of the deep accumulation type and recommend joint projects; monitor the fast network clustering coefficient, and when the fast network clustering coefficient is greater than the preset clustering coefficient and the average path length of the slow network is greater than the preset path length, establish slow connections between the central nodes of the fast network; when the time resilience ratio is detected to be continuously decreasing, generate suggestions to build dual-core driven type nodes.

[0035] It should be explained that, in this embodiment, firstly, fast connection type nodes in the fast value network graph and deep accumulation type nodes in the slow value network graph are identified; then, fast connection type nodes and deep accumulation type nodes are matched, prioritizing node combinations that are geographically adjacent or have related records in historical actions; based on the obtained matching results, a joint project recommendation scheme is generated to guide the complementary and synergistic formation of the propagation capability of fast timescale actions and the long-term value accumulation capability of slow timescale actions. When the fast network clustering coefficient is found to be greater than the preset clustering coefficient, and the average path length of the slow value network graph is greater than the preset path length, it is determined that there is a risk of imbalance between the fast and slow value structures in the current rural unit, and a slow connection is established between the central nodes of the fast network. The slow connection is a connection method characterized by long-term cooperation, institutionalized collaboration, or fixed resource allocation. The preset clustering coefficient and preset path length are obtained by analyzing the statistical distribution of historical evaluation data, and the mean or quantile is used as the judgment criterion. When the time resilience ratio is continuously declining, it indicates that the synergistic structure between fast and slow values ​​is weakening. In this case, a suggestion is generated to build dual-core driven nodes. This suggestion is used to guide nodes with potential in both the fast and slow value network graphs. The suggestion includes gradually developing dual-core driven nodes that simultaneously undertake the functions of rapid connection and deep accumulation through resource allocation, policy support and project guidance, so as to improve the overall construction status and development resilience of rural units.

[0036] Achieving industrial revitalization: By constructing a fast value network map, we can accurately identify the hubs of industrial chain resource flow driven by local elites on e-commerce and live-streaming digital platforms; at the same time, by using a slow value network map, we can assess the depth and resilience of traditional industry cooperation and skill inheritance; diagnose whether the industrial network is disconnected from the real world or is developing in an integrated manner, and generate suggestions, such as matching local elites with online traffic with local elites with offline physical production, so as to put the cultural tourism model and characteristic cultural industry model proposed in the application into practice and achieve precise industrial resource matching and optimization. Supporting talent revitalization: By analyzing network nodes, it automatically identifies key talent types such as dual-core driven and deeply accumulated talents, diagnoses weak links in the talent network, and recommends specific collaborative projects to promote talent pipeline development and knowledge transfer, thereby solving the problem of insufficient endogenous motivation. By directly quantifying the role of local worthies in enhancing the core of rural culture through slow-scale actions such as changing customs and inheriting intangible cultural heritage through the cultural deepening rate, the actual online influence of local worthies' halls and carriers of local worthies' culture can be determined, judging whether cultural activities are superficially lively or deeply rooted in people's hearts. Furthermore, suggestions can be made on how to effectively catalyze the contemporary vitality of traditional culture using digital media to achieve true cultural empowerment.

[0037] Example 2: Based on Example 1, a rural construction evaluation system based on the new rural elite culture, such as... Figure 2 As shown, it includes: The data acquisition module is used to acquire a dataset of actions of local notables in rural areas and to divide the dataset into fast-timescale action data and slow-timescale action data. The action value calculation module is used to obtain the comprehensive value of each hometown worthy's action based on the fast timescale action data and the slow timescale action data, using the hometown worthy value resonance formula. The collaborative computing submodule is used to obtain the collaborative factor that mutually stimulates the fast and slow values ​​through the collaborative resonance function; The deepening calculation submodule is used to obtain the catalytic rate of fast timescale action to slow timescale action using the catalytic rate calculation formula based on the synergistic correlation data, and to obtain the deepening rate of slow timescale action to fast timescale action using the deepening rate calculation formula based on the synergistic correlation data. The network generation module is used to construct fast value network maps and slow value network maps based on the comprehensive value of the actions of various local notables and their corresponding geographical locations. The node type classification module is used to classify the node types according to the fast value network graph and the slow value network graph; The diagnostic analysis module is used to analyze and compare the topological characteristics of fast value network diagrams and slow value network diagrams, and generate a collaborative diagnostic report on the construction status and development resilience of rural areas.

[0038] It should be understood that this embodiment is for illustrative purposes only and is not intended to limit the scope of the invention. Furthermore, it should be understood that after reading the teachings of this invention, those skilled in the art can make various alterations or modifications to the invention, and these equivalent forms also fall within the scope defined by the appended claims.

Claims

1. A rural development evaluation method based on the new rural elite culture, characterized by: Includes the following steps: S1: Obtain the rural gentry action dataset and divide the gentry action dataset into fast timescale action data and slow timescale action data; S2: Based on the fast-timescale action data and slow-timescale action data, the comprehensive value of each hometown gentry's action is obtained using the hometown gentry value resonance formula; S3: Based on the comprehensive value of each hometown worthy's actions and their corresponding geographical location, construct a fast value network map and a slow value network map; S4: Classify the node types according to the fast value network diagram and the slow value network diagram; S5: Analyze and compare the topological characteristics of fast value network diagrams and slow value network diagrams to generate a collaborative diagnostic report on the construction status and development resilience of rural areas.

2. The rural construction evaluation method based on the new rural elite culture as described in claim 1, characterized in that, The process of acquiring a dataset of actions by local notables in rural areas and dividing it into fast-timescale action data and slow-timescale action data includes: acquiring a dataset of actions by local notables in rural areas, wherein the dataset contains fast-timescale action data and slow-timescale action data; the fast-timescale action data is the data of local notables' actions recorded through a digital platform, and the complete behavioral cycle of the actions is within a first preset time threshold; the slow-timescale action data is the data of local notables' actions completed through offline physical space and face-to-face interaction, and the period during which the value of the actions is demonstrated exceeds a second preset time threshold.

3. A rural construction evaluation method based on the new rural elite culture as described in claim 1, characterized in that, The process of obtaining the comprehensive value of each hometown gentry's action using the hometown gentry value resonance formula based on the fast-timescale action data and the slow-timescale action data includes: obtaining the immediate effect contribution of digital hometown gentry based on the fast-timescale action data; obtaining the long-term value contribution of slow-timescale action subjects based on the slow-timescale action data, wherein the slow-timescale action subjects are value contributors whose actions are mainly offline physical spaces; and obtaining the synergistic factor that mutually stimulates fast and slow values ​​through a synergistic resonance function, wherein the hometown gentry value resonance formula is: ； In the formula, The comprehensive value of the actions of local notables; The time elapsed after the completion of the action by the local notables; The initial value for rapid response is the immediate contribution of digital hometown worthy individuals. The final value of slow sedimentation is the long-term value contribution of slow-scale actors. The natural decay cycle of the effects of the Digital Hometown Elite Initiative; The cycle for the realization and manifestation of the value of physical actions; It is a cooperating factor.

4. A rural construction evaluation method based on the new rural elite culture as described in claim 3, characterized in that, The method of obtaining the synergistic factor that mutually stimulates the values ​​of fast and slow through the synergistic resonance function includes: acquiring synergistic-related data, which includes records of the use of digital tools by slow-scale actors, interaction records between fast and slow actors, and cultural depth assessment data; obtaining the catalytic rate of fast-scale action on slow-scale action using the catalytic rate calculation formula based on the synergistic-related data, and obtaining the deepening rate of slow-scale action on fast-scale action using the deepening rate calculation formula based on the synergistic-related data. The synergistic resonance function is: ； In the formula, As a cooperating factor; The catalytic rate of fast-timescale actions on slow-timescale actions; The rate at which slow-timescale actions deepen upon fast-timescale actions; This is the cooperative gain coefficient.

5. A rural construction evaluation method based on the new rural elite culture as described in claim 4, characterized in that, The step of obtaining the catalytic rate of fast-timescale actions to slow-timescale actions using the catalytic rate calculation formula based on the synergistic correlation data, and obtaining the deepening rate of slow-timescale actions to fast-timescale actions using the deepening rate calculation formula based on the synergistic correlation data, includes: wherein the catalytic rate calculation formula is: ； In the formula, The catalytic rate of fast-timescale actions on slow-timescale actions; The number of people who ultimately adopt digital tools for slow-scale actions; The number of people who are initially rejecting digital tools as slow-scale actors; To adapt the time constant of digital tools to slow-scale actors; ； In the formula, The rate at which slow-timescale actions deepen upon fast-timescale actions; In the first In terms of cultural depth, the amount of cultural depth enhancement from slow-timescale actions to fast-timescale actions; In the first Weighting in the depth dimension of culture.

6. A rural construction evaluation method based on the new rural elite culture as described in claim 1, characterized in that, The process involves constructing a fast value network graph and a slow value network graph based on the comprehensive value and corresponding geographic location of each local notable's actions. This includes: the fast value network graph representing the value generated by actions on a fast timescale; and the slow value network graph representing the value generated by actions on a slow timescale. The process involves obtaining the geographic locations of the rural areas included in each local notable's actions and using these locations as graph nodes; constructing connecting edges between graph nodes based on notable mobility, resource flow, information dissemination, and collaborative relationships; constructing node vectors for each node; these node vectors include fast value feature vectors, slow value feature vectors, synergy coefficient feature vectors, and total comprehensive value feature vectors; constructing edge weights between nodes based on catalytic rate and resource flow speed to generate the fast value network graph; and constructing edge weights between nodes based on deepening rate and duration of cooperation to generate the slow value network graph. The fast and slow value network graphs are based on the same and the same group of rural area nodes, forming a two-layer value network structure under different value generation mechanisms.

7. A rural construction evaluation method based on the new rural elite culture as described in claim 1, characterized in that, The process of classifying nodes based on fast and slow value network graphs includes: obtaining centrality indices for each node in the fast and slow value network graphs; the centrality indices being degree centrality, weighted degree, betweenness centrality, and proximity centrality; classifying nodes into dual-core driven type, deep-seated type, fast-connected type, and edge-participated type based on their centrality indices in the fast and slow value network graphs; and obtaining the network resilience index of the rural unit using a resilience calculation formula.

8. A rural construction evaluation method based on the new rural elite culture as described in claim 7, characterized in that, The process of obtaining the network resilience index of the rural unit through the resilience calculation formula includes: the resilience calculation formula is the ratio of the average path length of the slow network to the clustering coefficient of the fast network; when the time resilience ratio exceeds a preset resilience ratio threshold, an early warning of the risk of rapid collapse is generated, and a connection bridge is established between the central node of the fast network and the edge node of the slow network.

9. A rural construction evaluation method based on the new rural elite culture as described in claim 1, characterized in that, The analysis and comparison of the topological characteristics of fast and slow value network graphs generate a collaborative diagnostic report on the construction status and development resilience of rural areas. This includes: matching nodes of the fast connection type with nodes of the deep accumulation type and recommending joint projects; monitoring the clustering coefficient of the fast network, and establishing slow connections between the central nodes of the fast network when the clustering coefficient of the fast network is greater than a preset clustering coefficient and the average path length of the slow network is greater than a preset path length; and generating suggestions for building dual-core driven type nodes when the time resilience ratio is continuously decreasing.

10. A rural construction evaluation system based on the new rural elite culture, used to implement the rural construction evaluation method based on the new rural elite culture as described in any one of claims 1-9, characterized in that, include: The data acquisition module is used to acquire a dataset of actions of local notables in rural areas and to divide the dataset into fast-timescale action data and slow-timescale action data. The action value calculation module is used to obtain the comprehensive value of each hometown worthy's action based on the fast timescale action data and the slow timescale action data, using the hometown worthy value resonance formula. The collaborative computing submodule is used to obtain the collaborative factor that mutually stimulates the fast and slow values ​​through the collaborative resonance function; The deepening calculation submodule is used to obtain the catalytic rate of fast timescale action to slow timescale action using the catalytic rate calculation formula based on the synergistic correlation data, and to obtain the deepening rate of slow timescale action to fast timescale action using the deepening rate calculation formula based on the synergistic correlation data. The network generation module is used to construct fast value network maps and slow value network maps based on the comprehensive value of the actions of various local notables and their corresponding geographical locations. The node type classification module is used to classify the node types according to the fast value network graph and the slow value network graph; The diagnostic analysis module is used to analyze and compare the topological characteristics of fast value network diagrams and slow value network diagrams, and generate a collaborative diagnostic report on the construction status and development resilience of rural areas.

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