Visual and Spatial Analysis
Average Distance, Diameter, and Clustering in Social Networks with Homophily
WINE '08 Proceedings of the 4th International Workshop on Internet and Network Economics
Network Science: Theory and Applications
Network Science: Theory and Applications
Social and Economic Networks
From artificial societies to new social science theory
ECAL'07 Proceedings of the 9th European conference on Advances in artificial life
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In order to extend the ongoing academic and practitioner dialogs germane to Human, Social, Cultural, and Behavioral (HSCB) modeling and simulation, we introduce a novel extensible methodology for modeling Complex Adaptive Social Systems (CASS) that centers on capturing the emergence of dynamic Beliefs, Values, and Interests (BVIs) in the individuals and groups that compose a whole society. We follow Peter Blau, Miller McPherson, Lynn Smith-Lovin, Duncan Watts and many others in positing that human behavior is best understood in terms of the complex social systems within which actions are taken, and that the representation of these social systems must make evident the endogenous structural constraints on opportunities for interpersonal contact and group affiliation. We further demonstrate that the ability to seed social simulations with representative social data about the society being modeled (e.g. from social surveys), and the use of social networks generated using principles of homophily from empirical social science, provide a compelling and actionable framework for both interpreting with and theory building from whole society simulations.