Economics and Finance

    

SocialArray: Many-Particle Simulation for Array-Based Social Interaction

Authors: Pengn Wang, Xiaoda Wang, Peter Luh, Neal Olderman, Xuesong Lu, Christian Wilkie

This article introduces a simulation tool to study a complex multi-agent system in social context. The individual-level model is extended based on self-propelled Brownian particle and social force model, and it mainly describes how agents/particles interact with each other, and also with surrounding facilities including obstructions and passageways. Most importantly, we introduce a set of arrays to define social relationship of agents/particles in a quantitative manner. Opinion dynamics is integrated with force-based interaction to study complex social phenomena including path-selection activities, social groups and herding effect. Very interestingly, the interaction of agents/particles does not only exist at physics-level, but also at consciousness and unconsciousness level by integrating advanced social-psychological studies in our modeling framework.

Comments: 26 Pages.

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Submission history

[v1] 2025-06-22 11:30:22

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