Abstract
Agent-based modeling is a powerful tool to perform simulations over heterogeneous autonomous entities and, consequently, it can be used to analyze intrinsically emergent phenomena such as social networks. In the present work we present a meta-model that takes into account features of existing network models and describe an agent-based generation system built around such a meta-model. Our system is meant to provide a framework to ease the transition between analytic network models and newer agent-based models, where the nodes are autonomous, pro-active and potentially learning agents.
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Franchi, E. (2012). Towards Agent-Based Models for Synthetic Social Network Generation. In: Putnik, G.D., Cruz-Cunha, M.M. (eds) Virtual and Networked Organizations, Emergent Technologies and Tools. ViNOrg 2011. Communications in Computer and Information Science, vol 248. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31800-9_3
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DOI: https://doi.org/10.1007/978-3-642-31800-9_3
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