Growing artificial societies: social science from the bottom up
Growing artificial societies: social science from the bottom up
Dynamics in human and primate societies: agent-based modeling of social and spatial processes
Dynamics in human and primate societies: agent-based modeling of social and spatial processes
Social theory and agent architectures: prospective issues in rapid-discovery social science
Social Science Computer Review
Learning probabilistic models of link structure
The Journal of Machine Learning Research
Dynamic social network analysis using latent space models
ACM SIGKDD Explorations Newsletter
Experiences creating three implementations of the repast agent modeling toolkit
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Group formation in large social networks: membership, growth, and evolution
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Agent-Based Computational Modelling: Applications in Demography, Social, Economic and Environmental Sciences (Contributions to Economics)
Modeling and Simulation for Mission Operations Work System Design
Journal of Management Information Systems
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We present a modeling laboratory, Virtual Laboratory for the Simulation and Analysis of Social Group Evolution (ViSAGE), that views the organization of human communities and the experience of individuals in a community as contingent upon on the dynamic properties, or micro-laws, of social groups. The laboratory facilitates the theorization and validation of these properties through an iterative research processes that involves (1) forward simulation experiments, which are used to formalize dynamic group properties, (2) reverse engineering from real data on how the parameters are distributed among individual actors in the community, and (3) grounded research, such as participant observation, that follows specific activities of real actors in a community and determines if, or how well, the micro-laws describe the way choices are made in real world, local settings. In this article we report on the design of ViSAGE. We first give some background to the model. Next we detail each component. We then describe a set of simulation experiments that we used to further design and clarify ViSAGE as a tool for studying emergent properties/phenomena in social networks.