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James A. Kitts

Professor of Sociology, Founding Co-Director of the Computational Social Science Institute

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Structural Learning: Attraction and Conformity in Task-Oriented Groups

This study extends previous research that showed how informal social sanctions can backfire when members prefer friendship over enforcement of group norms. We use a type of neural network to model the coordination of informal social control in a small group of adaptive agents confronted with a social dilemma. This model incorporates two mechanisms of social influence, informal sanctions and imitation. Both mechanisms vary with the strength of the social tie between source and target. Previous research focused on the effects of social sanctions. Here, we demonstrate a curvilinear effect of imitation – or “mimetic influence” – on compliance with prosocial norms. Moderate doses of mimetic influence reduce the coordination complexity of self-organized collective action and help the network achieve satisfactory levels of cooperation. High doses, however, undermine the learning required to find cooperative solutions. Increasing group size also diminishes compliance due to increased complexity, with larger groups requiring more imitation to overcome the coordination problem.

Kitts, James A., Macy, Michael W., and Andreas Flache. “Structural Learning: Attraction and Conformity in Task-Oriented Groups.” Computational and Mathematical Organization Theory, 5:129-145, 1999.

This entry was posted in Research Article and tagged Computational Social Science, Cooperation, Influence, Interaction, Network Modeling, Norms, Sentiments, Social Exchange on 1999 by James Kitts.

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Research Topics

Adolescent Friendship (4)
Computational Social Science (14)
Cooperation (8)
Culture (4)
Network Measurement (8)
Network Modeling (13)
Organizations (10)
Polarization (3)
Relational Events (4)
Social Exchange (8)
Influence (10)
Interaction (19)
Social Movements (4)
Norms (7)
Sentiments (9)
Trust (2)
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