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

Mustafa Alassad (), Muhammad Nihal Hussain and Nitin Agarwal
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Mustafa Alassad: UA-Little Rock
Muhammad Nihal Hussain: Equifax
Nitin Agarwal: UA-Little Rock

Computational and Mathematical Organization Theory, 2023, vol. 29, issue 3, No 6, 487-502

Abstract: Abstract 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.

Keywords: Systems thinking; Complexity theory; System dynamics; Organizational cybernetics; Stochastic one-median problem; Misinformation mitigation; COVID-19; Information diffusion delay; Agent-based model (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s10588-023-09375-6

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