Agent-based modeling and simulation of community collective efficacy

Minghao Wang () and Xiaolin Hu ()
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Minghao Wang: Georgia State University
Xiaolin Hu: Georgia State University

Computational and Mathematical Organization Theory, 2012, vol. 18, issue 4, No 6, 463-487

Abstract: Abstract Community collective efficacy is an important concept in studying various community problems and in developing community well-beings. While existing research on collective efficacy mainly focuses on building analytical or statistical models from informant survey data, this paper develops a complexity science-informed agent-based model to study the dynamic process of collective efficacy formation in a community. We model the individual level cognitive process for participating in community tasks and simulate the emergent spatial patterns of agents’ collective efficacies in a community. The developed model is based on the self-efficacy theory and Theory of Planned Behavior. Interesting patterns such as spatial segregation has been observed through simulations, and an application of the developed model is presented.

Keywords: Collective efficacy; Theory of planned behavior; Agent-based modeling; Community; Neighborhood; Spatial dynamic (search for similar items in EconPapers)
Date: 2012
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DOI: 10.1007/s10588-012-9107-0

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