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 nodes are autonomous, pro-active and potentially learning agents.
Towards Agent-based Models for Synthetic Social Network Generation / Franchi, Enrico. - (2011). (Intervento presentato al convegno First International Conference on Virtual and Networked Organizations Emergent Technologies and Tools tenutosi a Ofir, Portugal nel July 6-8, 2011).
Towards Agent-based Models for Synthetic Social Network Generation
FRANCHI, Enrico
2011-01-01
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 nodes are autonomous, pro-active and potentially learning agents.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
