Smart library reading promotion evolution simulation method based on netlogo
Through the NetLogo-based smart library reading promotion evolution simulation method, the problems of limited coverage and participation of traditional reading promotion activities and difficulty in evaluation of results are solved, and the promotion effect with efficient and quality optimization is achieved, and interactivity and sustainability are enhanced.
Patent Information
- Application Number
- CN202510119768.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-25
- Publication Date
- 2025-05-06
AI Technical Summary
The reading promotion activities of traditional smart libraries have problems such as limited coverage and participation and difficulty in assessing the results, resulting in poor promotion results.
The smart library reading promotion evolution simulation method based on NetLogo is adopted, and by constructing a virtual simulation environment with multiple subjects, simulating the information dissemination process, analyzing the dynamic changes in promotion effects, and generating optimization suggestions and promotion adjustment strategies.
It significantly improves promotion efficiency and quality, enhances interactivity, reduces promotion costs, improves the scientific nature of decision-making, enhances the sustainability of promotion effects, and enhances user experience and cultural heritage.
Smart Images

Figure CN119941477A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of demand modeling, and in particular relates to a simulation method for the evolution of reading promotion in a NetLogo smart library. Background Art
[0002] In the field of smart libraries, reading promotion activities usually rely on traditional propaganda methods and empirical methods. These methods mainly include:
[0003] 1. Offline event organization: The library regularly organizes offline events such as book clubs, lectures, and exhibitions, and invites readers to participate. Although these activities can directly interact with readers, they have the following problems: Limited coverage: The activities are usually limited to the reader groups around the library, and it is difficult to attract a wider audience. Time and space limitations: The time and location of the event are fixed, which cannot meet the flexible needs of readers. The effect is difficult to quantify: The evaluation of the effect of the event mainly depends on the number of participants and on-site feedback, and lacks scientific quantitative indicators.
[0004] 2. Online promotion: Online promotion is carried out through the library's official website, social media platforms, etc. Although these methods can expand the coverage, there are also some problems: Information overload: In the era of information explosion, readers are easily overwhelmed by a large amount of information, resulting in low exposure and click-through rates of promotional information. Insufficient interactivity: Online promotion is mostly one-way information push, lacking effective interaction with readers, and it is difficult to stimulate readers' enthusiasm for participation. Insufficient personalization: It is difficult to accurately push according to readers' personalized needs, resulting in poor promotion results.
[0005] Problems and shortcomings of the existing technology:
[0006] 1. Limited coverage and participation: Traditional offline activities and online publicity have limited coverage, making it difficult to attract a wide readership, and lack of interactivity and personalization, resulting in low reader participation and enthusiasm.
[0007] 2. Difficulty in effect evaluation: The effect evaluation of existing promotion methods mainly relies on the number of participants and on-site feedback. It lacks scientific quantitative indicators and it is difficult to accurately evaluate the actual effect of promotion activities.
[0008] It can be seen that the traditional reading promotion activities have the defects of inefficiency, closedness and blindness, and the communication effect is not good. Therefore, it is necessary to find the defects of reading promotion activities and then improve the resource utilization efficiency and reading communication effect of smart libraries. Summary of the invention
[0009] In order to overcome the shortcomings of the prior art, the purpose of the present invention is to provide a simulation method for the evolution of reading promotion based on NetLogo smart library to solve the problems of inefficiency, closedness and blindness in traditional reading promotion activities and poor communication effect.
[0010] To achieve the above object, the present invention provides the following technical solutions:
[0011] A simulation method for reading promotion evolution based on NetLogo smart library, comprising:
[0012] Construct a virtual simulation environment containing multiple subjects based on NetLogo, set initial parameters and connection relationships;
[0013] Define the behavior patterns of each multi-subject;
[0014] Simulate the process of information dissemination between various subjects;
[0015] According to the dynamic evolution of promotion activities during simulation, the changes in promotion effects on different time scales are analyzed to obtain simulation results;
[0016] Based on the simulation results, the promotion effect is evaluated and optimization suggestions and promotion adjustment strategies are generated.
[0017] Preferably, the multiple entities include libraries, readers, publishing organizations, social control departments, bookstores, schools and reading promotion personnel.
[0018] Preferably, the functions of each of the multiple entities are:
[0019] The said library, as the main organizer of reading promotion, is responsible for holding various reading activities and providing reading resources;
[0020] The readers, as the target of reading promotion, participate in reading activities and spread reading information;
[0021] The publishing organization is used to provide reading content and support the library's promotional activities;
[0022] The social control department is used to formulate policies and provide financial support to promote reading promotion activities;
[0023] The said bookstores, as points of sale for reading resources, participate in promotional activities;
[0024] The said school, as an educational institution, participates in reading promotion activities to influence students and parents;
[0025] The reading promoter, as a professional promoter, is responsible for organizing and promoting reading activities.
[0026] Preferably, the relationship between the multiple subjects is connected as follows:
[0027] The social control department establishes connections with other entities for coordination and organization;
[0028] The publishing organization is randomly connected with the bookstore to simulate a book supply chain;
[0029] The bookstore is randomly connected with some of the readers to simulate the readers' purchasing behavior;
[0030] The library is randomly connected to the reader to simulate the reader's borrowing behavior;
[0031] The readers are connected via a small-world network, which is used to simulate the information dissemination in a social network;
[0032] The reading promoter randomly selects the reader connection to simulate the promotion behavior;
[0033] The school randomly selects the readers to connect, and each reader corresponds to one school.
[0034] Preferably, the behavior patterns of the multiple subjects are:
[0035] The behavior pattern of the library includes organizing reading promotion activities, providing reading resources and pushing reading information. The behavior pattern of the readers includes participating in the library's reading promotion activities according to their interests and time, sharing reading experiences and promotion information through social networks, and evaluating and providing feedback on reading promotion activities and resources. The behavior pattern of the publishing organization includes providing high-quality reading content, supporting the library's reading promotion activities, and promoting reading promotion activities through the media and channels. The behavior pattern of the social control department includes formulating relevant policies and guidelines, providing financial support, coordinating resources from all parties, and promoting the development of reading promotion activities. The behavior pattern of the bookstore includes selling book resources, providing book purchase discounts, participating in the library's reading promotion activities, and providing venue support. The behavior pattern of the school includes incorporating reading promotion into the curriculum system, cultivating students' interest in reading, organizing students to participate in reading promotion activities, and cooperating with parents to promote activities. The behavior pattern of reading promoters includes organizing various types of reading promotion activities and disseminating reading information through multiple channels.
[0036] Preferably, the information dissemination simulation includes social network and offline activity dissemination, and the social network dissemination is set with a dissemination probability parameter, which is used to simulate the success rate of information dissemination.
[0037] Preferably, during the simulation operation, the dynamic evolution process of the reading promotion activity is simulated through time stepping, and the promotion effect data of each time step is recorded, including the number of participants and the scope of dissemination, the promotion effect is evaluated through quantitative indicators, the changes in the promotion effect on different time scales are analyzed, and an optimization method is designed. The quantitative indicators include the number of participants, the scope of dissemination and readers' feedback.
[0038] Compared with the prior art, the present invention has the following beneficial effects:
[0039] (1) Improve promotion efficiency and accurately position: Through multi-agent modeling and simulation technology, the target reader group can be accurately positioned, the pertinence and effectiveness of promotion activities can be improved, and ineffective promotion can be reduced, thereby significantly improving promotion efficiency; Dynamic adjustment: According to the simulation results, the promotion strategy can be adjusted in real time to ensure that the promotion activities can achieve the best results at different stages, further improving promotion efficiency;
[0040] (2) Improve promotion quality and scientifically evaluate: Scientifically evaluate the promotion effect through quantitative indicators, provide accurate data support, help libraries optimize promotion content and form, and improve promotion quality; Personalized service: Provide customized reading promotion services based on readers' personalized needs, improve readers' satisfaction and participation, and thus improve promotion quality;
[0041] (3) Enhance interactivity and social network communication: simulate social network communication among readers, enhance interaction and communication among readers, form a good reading atmosphere, and improve readers' participation and enthusiasm; multi-subject collaboration: by simulating the synergy of multiple subjects such as libraries, readers, publishing institutions, and governments, promote interaction and cooperation among all parties, form a joint force, and promote the in-depth development of reading promotion activities;
[0042] (4) Reduce promotion costs and optimize resources: Through simulation analysis, optimize the allocation of promotion resources, reduce unnecessary resource waste, and reduce promotion costs; data-driven: use data support to scientifically set promotion parameters, improve resource utilization efficiency, and further reduce promotion costs;
[0043] (5) Improve the scientific nature of decision-making and dynamic evolution analysis: By simulating the dynamic evolution of the promotion process and analyzing the changes in promotion effects at different time scales, we can provide a scientific basis for the library's decision-making and ensure the scientific nature and rationality of the promotion strategy; long-term planning: provide long-term promotion strategy optimization suggestions, help the library formulate scientific long-term plans, and ensure the sustainability and effectiveness of reading promotion activities;
[0044] (6) Enhance the sustainability of promotion effects and continuously optimize: Based on the simulation results, continuously optimize the promotion strategy to ensure that the promotion activities can maintain good effects at different stages and enhance the sustainability of the promotion effects; Policy support: Through government policy support and resource investment, ensure the long-term development of promotion activities and form a good reading promotion ecology;
[0045] (7) Improve user experience and facilitate operation: By simplifying the model structure and providing a user-friendly operation interface, the complexity and difficulty of the model are reduced, and the user experience is improved; Real-time feedback: Provide real-time promotion effect feedback to help users understand the progress and effect of promotion activities in a timely manner, and enhance user participation and satisfaction;
[0046] (8) Promote cultural inheritance and reading culture promotion: Through effective reading promotion activities, stimulate readers' interest in reading, cultivate good reading habits, and promote the inheritance and development of reading culture; Cultural diversity: Through diversified promotion content and forms, enrich readers' cultural experience and promote cultural diversity and innovation;
[0047] In summary, the NetLogo-based smart library reading promotion evolution simulation method of the present invention, through scientific modeling and simulation technology, significantly improves the efficiency and quality of reading promotion, enhances interactivity, reduces promotion costs, improves the scientific nature of decision-making, enhances the sustainability of promotion effects, improves user experience, and promotes cultural inheritance. It has broad application prospects and important social value. BRIEF DESCRIPTION OF THE DRAWINGS
[0048] Figure 1 A simulation method for reading promotion evolution based on NetLogo smart library is shown in the figure of the present invention;
[0049] Figure 2 It is a schematic diagram of a model interface of a NetLogo-based intelligent library reading promotion evolution simulation method of the present invention. DETAILED DESCRIPTION
[0050] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0051] Example:
[0052] See also Figure 1-2 As shown, a simulation method for reading promotion evolution based on NetLogo smart library includes:
[0053] Construct a virtual simulation environment containing multiple subjects based on NetLogo, set initial parameters and connection relationships;
[0054] Define the behavior patterns of each multi-subject;
[0055] Simulate the process of information dissemination between various subjects;
[0056] According to the dynamic evolution of promotion activities during simulation, the changes in promotion effects on different time scales are analyzed to obtain simulation results;
[0057] Based on the simulation results, the promotion effect is evaluated and optimization suggestions and promotion adjustment strategies are generated.
[0058] The multiple subjects include libraries, readers, publishing organizations, social control departments, bookstores, schools and reading promotion personnel.
[0059] The functions of the various multi-subjects are:
[0060] The library, as the main organizer of reading promotion, is responsible for organizing various reading activities and providing reading resources; the readers, as the target of reading promotion, participate in reading activities and spread reading information; the publishing organization is responsible for providing reading content and supporting the library's promotion activities; the social control department is responsible for formulating policies and guidelines, providing financial support, and promoting the development of reading promotion activities; the bookstore, as a sales point for reading resources, participates in promotion activities; the school, as an educational institution, participates in reading promotion activities and influences students and parents; the reading promoters, as professional promoters, are responsible for organizing and promoting reading activities.
[0061] The relationship connection between the multiple subjects is as follows: the social control department establishes a connection with the remaining subjects for coordination and organization; the publishing agency is randomly connected with the bookstore to simulate the book supply chain; the bookstore is randomly connected with some of the readers to simulate the reader's purchasing behavior; the library is randomly connected with the readers to simulate the reader's borrowing behavior; the readers are connected through a small-world network to simulate the information dissemination in the social network; the reading promoter randomly selects the reader connection to simulate the promotion behavior; the school randomly selects the reader connection, and each reader corresponds to one school.
[0062] The behavior patterns of the various subjects are:
[0063] The behavior pattern of the library includes organizing reading promotion activities, providing reading resources and pushing reading information. The behavior pattern of the readers includes participating in the library's reading promotion activities according to their interests and time, sharing reading experiences and promotion information through social networks, and evaluating and providing feedback on reading promotion activities and resources. The behavior pattern of the publishing organization includes providing high-quality reading content, supporting the library's reading promotion activities, and promoting reading promotion activities through the media and channels. The behavior pattern of the social control department includes formulating relevant policies and guidelines, providing financial support, coordinating resources from all parties, and promoting the development of reading promotion activities. The behavior pattern of the bookstore includes selling book resources, providing book purchase discounts, participating in the library's reading promotion activities, and providing venue support. The behavior pattern of the school includes incorporating reading promotion into the curriculum system, cultivating students' interest in reading, organizing students to participate in reading promotion activities, and cooperating with parents to promote activities. The behavior pattern of reading promoters includes organizing various types of reading promotion activities and disseminating reading information through multiple channels.
[0064] The information dissemination simulation includes social network and offline activity dissemination, and the social network dissemination is set with a dissemination probability parameter, which is used to simulate the success rate of information dissemination.
[0065] During the simulation operation, the dynamic evolution process of the reading promotion activity is simulated through time stepping, and the promotion effect data of each time step is recorded, including the number of participants and the scope of dissemination. The promotion effect is evaluated through quantitative indicators, the changes in the promotion effect on different time scales are analyzed, and an optimization method is designed. The quantitative indicators include the number of participants, the scope of dissemination and reader feedback.
[0066] Improve promotion efficiency and accurately position: Through multi-agent modeling and simulation technology, it is possible to accurately position the target reader group, improve the pertinence and effectiveness of promotion activities, reduce ineffective promotion, and thus significantly improve promotion efficiency; Dynamic adjustment: According to the simulation results, the promotion strategy is adjusted in real time to ensure that the promotion activities can achieve the best results at different stages, further improving promotion efficiency;
[0067] Improve promotion quality and scientifically evaluate: scientifically evaluate the promotion effect through quantitative indicators, provide accurate data support, help libraries optimize promotion content and form, and improve promotion quality; Personalized service: provide customized reading promotion services according to readers' personalized needs, improve readers' satisfaction and participation, and thus improve promotion quality;
[0068] Enhance interactivity and social network communication: simulate social network communication between readers, enhance interaction and communication between readers, form a good reading atmosphere, and improve readers' participation and enthusiasm; Multi-subject collaboration: by simulating the synergy of multiple subjects such as libraries, readers, publishing institutions, and governments, promote interaction and cooperation among all parties, form a joint force, and promote the in-depth development of reading promotion activities;
[0069] Reduce promotion costs and optimize resources: Through simulation analysis, optimize the configuration of promotion resources, reduce unnecessary resource waste, and reduce promotion costs; Data-driven: Use data support to scientifically set promotion parameters, improve resource utilization efficiency, and further reduce promotion costs;
[0070] Improve the scientific nature of decision-making, dynamic evolution analysis: by simulating the dynamic evolution of the promotion process, analyzing the changes in promotion effects at different time scales, providing a scientific basis for the library's decision-making, and ensuring the scientificity and rationality of the promotion strategy; long-term planning: providing long-term promotion strategy optimization suggestions, helping the library to formulate scientific long-term plans, and ensuring the sustainability and effectiveness of reading promotion activities;
[0071] Enhance the sustainability of promotion effects and continuously optimize: Based on the simulation results, continuously optimize the promotion strategy to ensure that the promotion activities can maintain good effects at different stages and enhance the sustainability of the promotion effects; Policy support: Through government policy support and resource investment, ensure the long-term development of promotion activities and form a good reading promotion ecology;
[0072] Improve user experience and facilitate operation: By simplifying the model structure and providing a user-friendly operation interface, the complexity and difficulty of the model are reduced, and the user experience is improved; Real-time feedback: Provide real-time promotion effect feedback to help users understand the progress and effect of promotion activities in a timely manner, and enhance user participation and satisfaction;
[0073] Promote cultural inheritance and reading culture promotion: Through effective reading promotion activities, stimulate readers' interest in reading, cultivate good reading habits, and promote the inheritance and development of reading culture; Cultural diversity: Through diversified promotion content and forms, enrich readers' cultural experience and promote cultural diversity and innovation;
[0074] In summary, the NetLogo-based smart library reading promotion evolution simulation method of the present invention, through scientific modeling and simulation technology, significantly improves the efficiency and quality of reading promotion, enhances interactivity, reduces promotion costs, improves the scientific nature of decision-making, enhances the sustainability of promotion effects, improves user experience, and promotes cultural inheritance. It has broad application prospects and important social value.
[0075] Reference Figure 2The established model simulates the dissemination process of the reading promotion mechanism among multiple subjects. The social control department, that is, the government directly promotes, the government is directly connected to all institutions, and promotes libraries to accept reading services in a probabilistic manner. The publisher intermediary promotes, and the publisher as an intermediary agency randomly connects libraries and exerts influence, forming a small world network between libraries. The libraries that have adopted the promotion image the adjacent libraries through the willingness to cooperate. The simulation is carried out through the dynamic connection between each point, and the promotion effect is visualized through color changes. Red means acceptance of the promotion, and green means non-acceptance. In this way, the diffusion and stagnation conditions of the promotion process are simulated. The core adjustable parameters of the model include:
[0076] The number of initiating libraries is the number of libraries that actively initiate online services in the initial stage. It determines the number of seed libraries when the model is started and affects the subsequent diffusion speed.
[0077] Government promotion intensity: when the government directly promotes, the probability of an individual library accepting the promotion ranges from 0.0 (no promotion) to 1.0 (all acceptance);
[0078] The promotion intensity of the management agency: when an intermediary agency such as a publishing agency promotes, the probability that the library it links to will accept the promotion ranges from 0.0 to 1.0;
[0079] The library's willingness to cooperate indicates the probability that a library that has accepted the promotion will influence its neighboring libraries to join the promotion, ranging from 0.0 (no cooperation) to 1.0 (full cooperation).
[0080] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example" or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, unless they are contradictory.
[0081] In the drawings of the embodiments disclosed in the present invention, only the structures related to the embodiments disclosed in the present invention are involved, and other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of the present invention can be combined with each other.
Claims
1. A simulation method for reading promotion evolution based on NetLogo smart library, characterized in that: include: Construct a virtual simulation environment containing multiple subjects based on NetLogo, set initial parameters and connection relationships; Define the behavior patterns of each multi-subject; Simulate the process of information dissemination between various subjects; According to the dynamic evolution of promotion activities during simulation, the changes in promotion effects on different time scales are analyzed to obtain simulation results; Based on the simulation results, the promotion effect is evaluated and optimization suggestions and promotion adjustment strategies are generated.
2. According to claim 1, a simulation method for reading promotion evolution based on NetLogo smart library is characterized by: The multiple subjects include libraries, readers, publishing organizations, social control departments, bookstores, schools and reading promotion personnel.
3. According to claim 2, a simulation method for reading promotion evolution based on NetLogo smart library is characterized by: The functions of the various multi-subjects are: The said library, as the main organizer of reading promotion, is responsible for holding various reading activities and providing reading resources; The readers, as the target of reading promotion, participate in reading activities and spread reading information; The publishing organization is used to provide reading content and support the library's promotional activities; The social control department is used to formulate policies and provide financial support to promote reading promotion activities; The said bookstores, as points of sale for reading resources, participate in promotional activities; The said school, as an educational institution, participates in reading promotion activities to influence students and parents; The reading promoter, as a professional promoter, is responsible for organizing and promoting reading activities.
4. The method for simulating the evolution of reading promotion based on NetLogo smart library according to claim 3 is characterized by: The relationship between the multiple subjects is connected as follows: The social control department establishes connections with other entities for coordination and organization; The publishing organization is randomly connected with the bookstore to simulate a book supply chain; The bookstore is randomly connected with some of the readers to simulate the readers' purchasing behavior; The library is randomly connected to the reader to simulate the reader's borrowing behavior; The readers are connected via a small-world network, which is used to simulate the information dissemination in a social network; The reading promoter randomly selects the reader connection to simulate the promotion behavior; The school randomly selects the readers to connect, and each reader corresponds to one school.
5. The method for simulating the evolution of reading promotion based on NetLogo smart library according to claim 4 is characterized by: The behavior patterns of the various subjects are: The behavior pattern of the library includes organizing reading promotion activities, providing reading resources and pushing reading information. The behavior pattern of the readers includes participating in the library's reading promotion activities according to their interests and time, sharing reading experiences and promotion information through social networks, and evaluating and providing feedback on reading promotion activities and resources. The behavior pattern of the publishing organization includes providing high-quality reading content, supporting the library's reading promotion activities, and promoting reading promotion activities through the media and channels. The behavior pattern of the social control department includes formulating relevant policies and guidelines, providing financial support, coordinating resources from all parties, and promoting the development of reading promotion activities. The behavior pattern of the bookstore includes selling book resources, providing book purchase discounts, participating in the library's reading promotion activities, and providing venue support. The behavior pattern of the school includes incorporating reading promotion into the curriculum system, cultivating students' interest in reading, organizing students to participate in reading promotion activities, and cooperating with parents to promote activities. The behavior pattern of reading promoters includes organizing various types of reading promotion activities and disseminating reading information through multiple channels.
6. The method for simulating the evolution of reading promotion based on NetLogo smart library according to claim 5 is characterized by: The information dissemination simulation includes social network and offline activity dissemination, and the social network dissemination is set with a dissemination probability parameter, which is used to simulate the success rate of information dissemination.
7. The method for simulating the evolution of reading promotion based on NetLogo smart library according to claim 1 is characterized by: During the simulation operation, the dynamic evolution process of the reading promotion activity is simulated through time stepping, and the promotion effect data of each time step is recorded, including the number of participants and the scope of dissemination. The promotion effect is evaluated through quantitative indicators, the changes in the promotion effect on different time scales are analyzed, and an optimization method is designed. The quantitative indicators include the number of participants, the scope of dissemination and reader feedback.
Citation Information
Patent Citations
Smart library reading promotion management method based on knowledge graph
CN118552262A