Public risk perception and behavior group psychological regulation and control model based on sudden public health event

Abstract

The invention discloses a public risk perception and behavioral group psychological regulation and control model based on an emergent public health event, which belongs to the technical field of social public management and comprises a risk perception dynamic evaluation module, a behavioral group psychological prediction module and a psychological regulation and control strategy generation module. Through the steps of multi-dimensional information acquisition, quantitative calculation, network topology structure construction, state space diagram generation, Fokker-Planck equation solution and the like, dynamic evaluation of public risk perception level and accurate prediction of group psychological change and behavior trend are realized, and meanwhile, according to a prediction result, the risk perception level of the public can be accurately evaluated. And a psychological regulation and control strategy suitable for the current situation is matched and generated from the strategy library so as to guide the public to deal with public health emergencies rationally.

Description

Technical Field

[0001] The present invention relates to the field of social public management technology, and more specifically, to a psychological regulation model of public risk perception and behavior groups based on public health emergencies. Background Art

[0002] In the context of public health emergencies (such as epidemics, natural disasters, etc.), the public's risk perception and behavioral response have a crucial impact on epidemic prevention and control, social stability and public health. Traditional risk management and psychological intervention methods often rely on static data analysis and empirical judgment, and it is difficult to capture the dynamic changes in the public's psychological state and its impact on behavior in real time and accurately. With the rapid development of big data, artificial intelligence and complex network theory, it has become possible to build a model based on multi-dimensional information input, dynamic evaluation and prediction, and precise psychological regulation.

[0003] Therefore, there is an urgent need for a model and system that can comprehensively consider the public's risk perception and behavioral group psychology and perform dynamic regulation based on network topological structure equations. Summary of the invention

[0004] 1. Technical issues to be solved

[0005] In response to the problems existing in the prior art, the purpose of the present invention is to provide a psychological regulation model of public risk perception and behavioral groups based on public health emergencies. Through multi-dimensional risk information collection, dynamic evaluation, network topology structure equation prediction and psychological regulation strategy generation, effective regulation of public risk perception and behavioral group psychology is achieved, providing a scientific basis and technical support for emergency management and psychological intervention of governments and social organizations in public health emergencies.

[0006] 2. Technical solution

[0007] To solve the above problems, the present invention adopts the following technical solutions.

[0008] The psychological regulation model of public risk perception and behavior based on public health emergencies includes:

[0009] The risk perception dynamic assessment module is used to dynamically assess the public's risk perception level based on the public's multi-dimensional information input on public health emergencies;

[0010] Behavioral group psychology prediction module, based on the network topology structure equation and combined with the public risk perception level, predicts group psychology changes and behavioral trends;

[0011] The psychological regulation strategy generation module generates targeted psychological regulation strategies based on the prediction results.

[0012] As a further improvement of the present invention, the risk perception dynamic assessment module includes:

[0013] The multi-dimensional risk information collection submodule is used to collect multi-dimensional information including epidemic data, media reports, social media sentiment, etc.

[0014] The risk perception calculation submodule uses a quantitative approach to calculate the public's risk perception level.

[0015] As a further improvement of the present invention, the behavior group psychology prediction module includes:

[0016] The network topology construction submodule constructs the network topology according to the social relations among the public;

[0017] The state space diagram generation submodule generates a state space diagram reflecting the changes in the public's psychological state based on the Markov state space theory;

[0018] The psychological behavior prediction submodule uses the Fokker-Planck equation to solve the state space diagram and predict group psychological changes and behavioral trends.

[0019] As a further improvement of the present invention, the psychological regulation strategy generation module includes:

[0020] The strategy library construction submodule contains a variety of psychological regulation strategy templates;

[0021] The strategy matching and generation submodule matches and generates psychological regulation strategies suitable for the current situation from the strategy library based on the prediction results.

[0022] As a further improvement of the present invention, the risk perception calculation submodule includes:

[0023] The risk perception dimension unit clarifies the multiple dimensions of risk perception, including but not limited to the severity, controllability, familiarity, fear, and personal relevance of the risk;

[0024] Psychometric unit: Based on the determined dimensions, a psychometric questionnaire or scale is designed, and each question in the questionnaire measures one or more dimensions;

[0025] The data preprocessing unit preprocesses the collected data, including checking the integrity of the data, processing missing values ​​and outliers, and converting the scores in the questionnaire into numerical form for subsequent analysis;

[0026] The dimension score calculation unit calculates the score of each dimension based on the public's answers to each dimension in the questionnaire;

[0027] The comprehensive risk perception level calculation unit calculates the comprehensive risk perception level of each respondent based on the scores of each dimension, which is achieved by taking the weighted sum of the scores of each dimension;

[0028] The statistical analysis unit conducts statistical analysis on the calculated comprehensive risk perception level, including descriptive statistics (such as mean, standard deviation) and inferential statistics (such as t-test, variance analysis, etc.) to understand the overall characteristics, differences and changing trends of the public's risk perception.

[0029] As a further improvement of the present invention, the network topology structure construction submodule includes:

[0030] The node definition unit clearly states that each node in the network represents a public individual, and all public individuals are grouped together to form a node set;

[0031] Relationship definition unit, identifying the structure, type, and direction of social relationships between the publics;

[0032] An adjacency matrix construction unit, which constructs a matrix according to the formed node set and the identified public relations;

[0033] Verification and adjustment unit, checking whether the adjacency matrix accurately reflects the social relations among the public, adjusting the adjacency matrix according to the verification results, and ensuring the accuracy and validity of the network topology;

[0034] The updating unit periodically updates the network topology to reflect the latest changes in social relations.

[0035] As a further improvement of the present invention, the network topology structure construction submodule also includes a relationship strength quantification unit, which evaluates the strength of the relationship for each pair of related public persons, using social media interaction frequency, communication duration, and number of common activities as evaluation indicators.

[0036] A group psychological regulation system for public risk perception and behavior based on public health emergencies includes a data processing center, user terminals and a communication network, wherein a model is deployed in the data processing center.

[0037] As a further improvement of the present invention, the data processing center further includes:

[0038] A data collection module, used to collect information related to public health emergencies from multiple data sources;

[0039] The data processing and analysis module processes and analyzes the collected data and inputs it into the risk perception dynamic assessment module.

[0040] As a further improvement of the present invention, the user terminal includes electronic devices such as smart phones and computers, which are used to receive and display psychological regulation strategies and provide a user feedback interface.

[0041] 3. Beneficial effects

[0042] (1) The present invention can timely discover the fluctuations and changing trends of the public's psychological state through real-time dynamic assessment of the public's risk perception level, and provide timely early warning information for the government and social organizations. At the same time, the psychological regulation strategy generated based on the accurate prediction results can guide relevant departments to quickly take effective measures to improve the timeliness and scientificity of emergency response.

[0043] (2) By accurately predicting group psychological changes and behavioral trends, the present invention can identify potential psychological crises and social risk points in advance, so as to take targeted psychological intervention measures. These measures help alleviate public panic, enhance psychological resilience, and promote social stability and healthy development. At the same time, by providing scientific and reasonable psychological guidance, it helps the public establish correct risk cognition and behavior patterns and improve their self-protection capabilities.

[0044] (3) The present invention, in the event of a public health emergency, the rational allocation and effective use of resources are the key to ensuring epidemic prevention and control and social stability. The present invention can provide scientific decision-making support for the government and social organizations by quantitatively assessing the public's risk perception level and predicting group psychological changes and behavioral trends. Based on this information, relevant departments can more accurately allocate human, material and financial resources, improve resource utilization efficiency, and ensure the smooth progress of epidemic prevention and control work. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 It is the model principle diagram of the present invention;

[0046] Figure 2 It is a system principle diagram of the present invention. DETAILED DESCRIPTION

[0047] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention; it is obvious that the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments, and all other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making creative work are within the scope of protection of the present invention.

[0048] See also Figure 1-2 , based on the public risk perception and behavior group psychological regulation model of public health emergencies, including:

[0049] The risk perception dynamic assessment module is used to dynamically assess the public's risk perception level based on the public's multi-dimensional information input on public health emergencies;

[0050] Behavioral group psychology prediction module, based on the network topology structure equation and combined with the public risk perception level, predicts group psychology changes and behavioral trends;

[0051] The psychological regulation strategy generation module generates targeted psychological regulation strategies based on the prediction results.

[0052] The risk perception dynamic assessment module includes:

[0053] The multi-dimensional risk information collection submodule is used to collect multi-dimensional information including epidemic data, media reports, social media sentiment, etc.

[0054] Data source selection: Determine the source of the collected data, such as official epidemic data, news reports, social media platforms (such as Weibo, Twitter), etc.

[0055] Data collection technology: Use web crawlers, API interfaces and other technical means to capture data from the above data sources.

[0056] Data storage: Store the collected data in a database for subsequent processing and analysis.

[0057] The risk perception calculation submodule uses a quantitative approach to calculate the public's risk perception level.

[0058] The behavioral group psychology prediction module includes:

[0059] The network topology construction submodule constructs the network topology according to the social relations among the public;

[0060] The state space diagram generation submodule generates a state space diagram reflecting the changes in the public's psychological state based on the Markov state space theory;

[0061] Define the state space: First, define all possible values ​​or states of the psychological state and construct the state space. These states can be discrete (such as "happy", "sad", etc.) or continuous (such as continuous changes in the intensity of emotions).

[0062] Determine state transition probabilities: Based on historical data or expert knowledge, determine the probabilities of transitions between states. These probabilities reflect the likelihood of changes in psychological states under different conditions.

[0063] Construct a state transition matrix: The state transition probabilities are organized into a state transition matrix, which describes the probability distribution of the system transitioning from one state to another.

[0064] Initialization state: Set the initial state of the system, that is, the psychological state of the system at the beginning.

[0065] Generate state space diagram: Using the state transition matrix and the initial state, the state space diagram is generated through iterative calculation. This diagram shows the dynamic change of psychological state over time, and can graphically represent the transition path and probability between states.

[0066] Analysis and interpretation: Analyze the generated state-space diagram to explain the patterns and trends of changes in psychological states and provide a basis for predicting psychological behavior.

[0067] The psychological behavior prediction submodule uses the Fokker-Planck equation to solve the state space diagram and predict group psychological changes and behavioral trends.

[0068] Determine the random process: clarify the random process characteristics of the changes in psychological states, including its dynamic laws and initial probability density function.

[0069] Establish the Fokker-Planck equation: According to the characteristics of the random process, the corresponding Fokker-Planck equation is established. This equation describes the evolution of the probability density function of the psychological state over time.

[0070] Solve the equation: Use numerical or analytical methods to solve the Fokker-Planck equation and obtain the evolution of the probability density function of the psychological state over time.

[0071] Predicting psychological behavior: Based on the probability density function obtained, predict the changing trend and behavior pattern of group psychology. This includes predicting the possible value range of the psychological state, the speed of change, and the probability of reaching a specific state.

[0072] Evaluation and verification: Evaluate and verify the prediction results to ensure their accuracy and reliability. This can be achieved by comparing with actual observation data or conducting simulation experiments.

[0073] The psychological regulation strategy generation module includes:

[0074] The strategy library construction submodule contains a variety of psychological regulation strategy templates;

[0075] The strategy matching and generation submodule matches and generates psychological regulation strategies suitable for the current situation from the strategy library based on the prediction results.

[0076] Strategy library construction

[0077] Strategy template design: Design a variety of psychological regulation strategy templates based on psychological theory and practical experience.

[0078] Strategy library establishment: organize strategy templates into a library to facilitate subsequent matching and generation.

[0079] Strategy matching and generation

[0080] Prediction result analysis: Conduct in-depth analysis of psychological behavior prediction results to identify potential psychological crises and social risk points.

[0081] Strategy matching: Match applicable psychological regulation strategies from the strategy library based on the prediction results.

[0082] Strategy generation: Generate specific psychological regulation strategies based on matching results, including strategy content, implementation methods and time nodes, etc.

[0083] The risk perception calculation submodule includes:

[0084] The risk perception dimension unit clarifies the multiple dimensions of risk perception, including but not limited to the severity, controllability, familiarity, fear, and personal relevance of the risk;

[0085] Psychometric unit: Based on the determined dimensions, a psychometric questionnaire or scale is designed, and each question in the questionnaire measures one or more dimensions;

[0086] The data preprocessing unit preprocesses the collected data, including checking the integrity of the data, processing missing values ​​and outliers, and converting the scores in the questionnaire into numerical form for subsequent analysis;

[0087] The dimension score calculation unit calculates the score of each dimension based on the public's answers to each dimension in the questionnaire;

[0088] The comprehensive risk perception level calculation unit calculates the comprehensive risk perception level of each respondent based on the scores of each dimension, which is achieved by taking the weighted sum of the scores of each dimension;

[0089] The statistical analysis unit conducts statistical analysis on the calculated comprehensive risk perception level, including descriptive statistics (such as mean, standard deviation) and inferential statistics (such as t-test, variance analysis, etc.) to understand the overall characteristics, differences and changing trends of the public's risk perception.

[0090] The network topology construction submodules include:

[0091] The node definition unit clearly states that each node in the network represents a public individual, and all public individuals are grouped together to form a node set;

[0092] Relationship definition unit, identifying the structure, type, and direction of social relationships between the publics;

[0093] An adjacency matrix construction unit, which constructs a matrix according to the formed node set and the identified public relations;

[0094] Verification and adjustment unit, checking whether the adjacency matrix accurately reflects the social relations among the public, adjusting the adjacency matrix according to the verification results, and ensuring the accuracy and validity of the network topology;

[0095] The updating unit periodically updates the network topology to reflect the latest changes in social relations.

[0096] The network topology construction submodule also includes a relationship strength quantification unit, which evaluates the strength of the relationship for each pair of related publics, using social media interaction frequency, communication duration, and number of joint activities as evaluation indicators.

[0097] The public risk perception and behavior group psychological regulation system based on public health emergencies includes a data processing center, user terminals and communication networks, and a model is deployed in the data processing center.

[0098] Data processing center construction: Build a data processing center, including data acquisition module, data processing and analysis module, and model operation module.

[0099] User terminal development: Development of user terminals (such as smartphone apps, web platforms, etc.) to display psychological regulation strategies, receive user feedback, etc.

[0100] Communication network configuration: Ensure that the communication network between the data processing center and the user terminal is unobstructed to achieve real-time transmission and synchronization of data.

[0101] The data processing center also includes:

[0102] A data collection module, used to collect information related to public health emergencies from multiple data sources;

[0103] The data processing and analysis module processes and analyzes the collected data and inputs it into the risk perception dynamic assessment module.

[0104] User terminals include smart phones, computers and other electronic devices, which are used to receive and display psychological regulation strategies and provide user feedback interfaces.

[0105] A method for regulating public risk perception and behavior group psychology based on public health emergencies, comprising:

[0106] 1. Collect information related to public health emergencies;

[0107] Second, use the above model to dynamically assess the public's risk perception level and predict group psychological changes and behavioral trends;

[0108] 3. Generate and publish targeted psychological regulation strategies to guide public behavior.

[0109] The above are only preferred specific embodiments of the present invention; however, the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical solutions and improved concepts of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A group psychological regulation model of public risk perception and behavior based on public health emergencies, characterized by: include: The risk perception dynamic assessment module is used to dynamically assess the public's risk perception level based on the public's multi-dimensional information input on public health emergencies; Behavioral group psychology prediction module, based on the network topology structure equation and combined with the public risk perception level, predicts group psychology changes and behavioral trends; The psychological regulation strategy generation module generates targeted psychological regulation strategies based on the prediction results.

2. The public risk perception and behavior group psychological regulation model based on public health emergencies according to claim 1 is characterized by: The risk perception dynamic assessment module includes: The multi-dimensional risk information collection submodule is used to collect multi-dimensional information including epidemic data, media reports, social media sentiment, etc. The risk perception calculation submodule uses a quantitative approach to calculate the public's risk perception level.

3. The psychological regulation model of public risk perception and behavior based on public health emergencies according to claim 1 is characterized by: The behavior group psychology prediction module includes: The network topology construction submodule constructs the network topology according to the social relations among the public; The state space diagram generation submodule generates a state space diagram reflecting the changes in the public's psychological state based on the Markov state space theory; The psychological behavior prediction submodule uses the Fokker-Planck equation to solve the state space diagram and predict group psychological changes and behavioral trends.

4. The public risk perception and behavior group psychological regulation model based on public health emergencies according to claim 1 is characterized by: The psychological regulation strategy generation module includes: The strategy library construction submodule contains a variety of psychological regulation strategy templates; The strategy matching and generation submodule matches and generates psychological regulation strategies suitable for the current situation from the strategy library based on the prediction results.

5. The psychological regulation model of public risk perception and behavior based on public health emergencies according to claim 2 is characterized by: The risk perception calculation submodule includes: The risk perception dimension unit clarifies the multiple dimensions of risk perception, including but not limited to the severity, controllability, familiarity, fear, and personal relevance of the risk; Psychometric unit: Based on the determined dimensions, a psychometric questionnaire or scale is designed, and each question in the questionnaire measures one or more dimensions; The data preprocessing unit preprocesses the collected data, including checking the integrity of the data, processing missing values ​​and outliers, and converting the scores in the questionnaire into numerical form for subsequent analysis; The dimension score calculation unit calculates the score of each dimension based on the public's answers to each dimension in the questionnaire; The comprehensive risk perception level calculation unit calculates the comprehensive risk perception level of each respondent based on the scores of each dimension, which is achieved by taking the weighted sum of the scores of each dimension; The statistical analysis unit conducts statistical analysis on the calculated comprehensive risk perception level, including descriptive statistics and inferential statistics, in order to understand the overall characteristics, differences and changing trends of the public's risk perception.

6. The group psychological regulation model of public risk perception and behavior based on public health emergencies according to claim 3 is characterized by: The network topology structure construction submodule includes: The node definition unit clearly states that each node in the network represents a public individual, and all public individuals are grouped together to form a node set; Relationship definition unit, identifying the structure, type, and direction of social relationships between the publics; An adjacency matrix construction unit, which constructs a matrix according to the formed node set and the identified public relations; Verification and adjustment unit, checking whether the adjacency matrix accurately reflects the social relations among the public, adjusting the adjacency matrix according to the verification results, and ensuring the accuracy and validity of the network topology; The updating unit periodically updates the network topology to reflect the latest changes in social relations.

7. The psychological regulation model of public risk perception and behavior based on public health emergencies according to claim 6 is characterized by: The network topology structure construction submodule also includes a relationship strength quantification unit, which evaluates the strength of the relationship for each pair of related publics, using social media interaction frequency, communication duration, and number of joint activities as evaluation indicators.

8. A group psychological regulation system for public risk perception and behavior based on public health emergencies, comprising a data processing center, a user terminal and a communication network, wherein the data processing center is deployed with a model according to any one of claims 1 to 7.

9. The group psychological regulation model of public risk perception and behavior based on public health emergencies according to claim 8 is characterized by: The data processing center also includes: A data collection module, used to collect information related to public health emergencies from multiple data sources; The data processing and analysis module processes and analyzes the collected data and inputs it into the risk perception dynamic assessment module.

10. The psychological regulation model of public risk perception and behavior based on public health emergencies according to claim 8 is characterized by: The user terminal includes electronic devices such as smart phones and computers, which are used to receive and display psychological regulation strategies and provide a user feedback interface.

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