Social Behavior, Network Dynamics and Collective Outcomes in Complex Societies

Monday, 16 July 2018: 10:30-12:20
RC45 Rational Choice (host committee)

Language: English

Increasing complexity in contemporary societies is challenging social norms and institutional equilibria. Examining large-scale implications of complex interactions between heterogeneous agents when social influence pressures are present is key to understand specific norms and institutions that could help regulate collective behavior for common benefit. Here, research is needed that explores the effect of the fundamental heterogeneity of individual behavior on the emergence of social patterns. However, agents cooperate and coordinate within social network structures that yield constraints and channel opportunities of interaction. The endogenous interplay between behavior and network structures shapes the evolution of social equilibria, eventually generating non-linear unexpected outcomes. This session aims to stimulate cross-fertilization of agent-based models and social network analysis to look at the co-evolution of behavior and networks and provides new insights on the complex link between social norms and institutions. Empirically-informed research is especially welcome. Theoretical, experimental and empirical contributions, especially using computational methods, are welcome.
Session Organizers:
Flaminio SQUAZZONI, University of Brescia, Italy and Federico BIANCHI, University of Brescia, Italy
Oral Presentations
Coupling Social Networks and Agent-Based Models: State of the Art and Prospects
Meike WILL, Helmholtz Centre for Environmental Research - UFZ, Department of Ecological Modelling, Germany; Birgit MÜLLER, Helmholtz Centre for Environmental Research - UFZ, Department of Ecological Modelling, Germany; Jürgen GROENEVELD, Institute of Forest Growth and Forest Computer Sciences, TU Dresden, Tharandt, Germany
Dynamics of Primary Health Care Teams
Pablo LUCAS, University College Dublin, Ireland; Cheryl COTT, University of Toronto, Canada; Sara GUILCHER, University of Toronto, Canada; Alberto CAIMO, Dublin Institute of Technology, Ireland; David RYAN, Sunnybrook Health Sciences Center, Canada
Increasing Complexity of Agent-Based Models with Experiments – the Case of Structural Shirking
Patrycja ANTOSZ, Jagiellonian University, Poland; Harko VERHAGEN, Stockholm University, Sweden
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