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Gravity-Based Community Vulnerability Evaluation Model in Social Networks: GBCVE.

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    This study introduces a gravity-based community vulnerability evaluation (GBCVE) model to assess social network risks. The model identifies vulnerable communities for real-time mitigation of public opinion or disaster impacts.

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    Area of Science:

    • Network Science
    • Social Network Analysis
    • Complex Systems

    Background:

    • Social media usage is rapidly increasing, with 3.5 billion users globally in 2019.
    • Community structures in social networks create vulnerabilities to attacks and large-scale disruptions.
    • Evaluating community vulnerability requires considering multiple information sources effectively.

    Purpose of the Study:

    • To develop a comprehensive model for evaluating community vulnerability in social networks.
    • To address the challenge of considering multiple information sources for vulnerability assessment.
    • To provide a method for identifying and mitigating risks in complex networks.

    Main Methods:

    • Designed a gravity-based community vulnerability evaluation (GBCVE) model.
    • Constructed community networks using Jensen-Shannon divergence and a log-sigmoid transition function.
    • Utilized internal/external community edges and a gravity index, employing a fuzzy ranking algorithm and Sobol' indices for analysis.

    Main Results:

    • The GBCVE model effectively evaluates community vulnerability by integrating interior information, small-scale, and large-scale interaction relationships.
    • A fuzzy ranking algorithm was used to describe inter-community vulnerability relationships.
    • Sensitivity analysis using Sobol' indices confirmed the model's robustness.

    Conclusions:

    • The proposed GBCVE model offers a novel approach to assessing social network vulnerability.
    • The model can identify vulnerable network components for real-time risk mitigation.
    • Findings have significant implications for network science and real-world applications in managing public opinion and disaster response.