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EnglishAgent-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.
| Titolo: | Towards Agent-based Models for Synthetic Social Network Generation |
| Autori: | |
| Data di pubblicazione: | 2011 |
| 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. |
| Handle: | http://hdl.handle.net/11381/2405548 |
| Appare nelle tipologie: | 4.1b Atto convegno Volume |
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