Developing an agent-based model to minimize spreading of malicious information in dynamic social networks

This research introduces a systematic and multidisciplinary agent-based model to interpret and simplify the dynamic actions of the users and communities in an evolutionary online (offline) social network. The organizational cybernetics approach is used to control/monitor the malicious information sp...

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Bibliographic Details
Published in:Computational and mathematical organization theory 2023-09, Vol.29 (3), p.487-502
Main Authors: Alassad, Mustafa, Hussain, Muhammad Nihal, Agarwal, Nitin
Format: Article
Language:English
Subjects:
Agent-based models
Agents
Artificial Intelligence
Business and Management
COVID-19
Cybernetics
Demonstrations & protests
False information
Interdisciplinary aspects
Management
Methodology of the Social Sciences
Operations Research/Decision Theory
Organization theory
Original Paper
Reaction time
Social networks
Sociology
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Summary:This research introduces a systematic and multidisciplinary agent-based model to interpret and simplify the dynamic actions of the users and communities in an evolutionary online (offline) social network. The organizational cybernetics approach is used to control/monitor the malicious information spread between communities. The stochastic one-median problem minimizes the agent response time and eliminates the information spread across the online (offline) environment. The performance of these methods was measured against a Twitter network related to an armed protest demonstration against the COVID-19 lockdown in Michigan state in May 2020. The proposed model demonstrated the dynamicity of the network, enhanced the agent level performance, minimized the malicious information spread, and measured the response to the second stochastic information spread in the network.
ISSN:1381-298X
1572-9346
DOI:10.1007/s10588-023-09375-6