Intervention Strategies and the Diffusion of Collective Behavior
Author(s) -
Haihua Hu,
Jun Lin,
Wen-tian Cui
Publication year - 2015
Publication title -
journal of artificial societies and social simulation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.768
H-Index - 59
ISSN - 1460-7425
DOI - 10.18564/jasss.2872
Subject(s) - collective behavior , diffusion , intervention (counseling) , psychology , statistical physics , sociology , physics , social science , thermodynamics , psychiatry
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.
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