Intervention Strategies and the Diffusion of Collective Behavior

Hai-hua Hu (), Jun Lin () and Wen-tian Cui ()
Additional contact information
Jun Lin: http://ljun.gr.xjtu.edu.cn
Wen-tian Cui: http://som.xjtu.edu.cn/contents/706/2390.html

Journal of Artificial Societies and Social Simulation, 2015, vol. 18, issue 3, 16

Abstract: This paper examines the intervention strategies for the diffusion of collective behavior, such as promoting innovation adoption and repressing a strike. An intervention strategy refers to controlling the behaviors of a small number of individuals in terms of their social or personal attributes, including connectivity (i.e., the number of social ties one holds), motivation (i.e., an individual’s intrinsic cost–benefit judgment on behavior change), and sensitivity (i.e., the degree to which one follows others). Extensive agent-based simulations demonstrate that the optimal strategy fundamentally depends on the goal and time of intervention. Moreover, the nature of the social network (determined by homophily type and level) moderates the effectiveness of a strategy. These results have substantial implications for the design and evaluation of intervention programs.

Keywords: Intervention Strategy; Diffusion of Collective Behavior; Social Network; Agent-Based Modeling (search for similar items in EconPapers)
Date: 2015-06-30
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Citations: View citations in EconPapers (3)

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