Analyzing peer to peer communication through agent-based simulation

Authors:
Shinako Matsuyama;Masaaki Kunigami;Takao Terano
Affiliations:
Dept. Computational Intelligence and Systems Sciences, Tokyo Institute of Technology, Yokohama, Japan;Graduate School of Business Sciences, University of Tsukuba, Tokyo, Japan;Dept. Computational Intelligence and Systems Sciences, Tokyo Institute of Technology, Yokohama, Japan
Venue:
JSAI'05 Proceedings of the 2005 international conference on New Frontiers in Artificial Intelligence
Year:
2006

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Abstract

This paper analyzes the characteristics of a peer-to-peer communications network through agent-based simulation. The extended BA (Balabasi and Abert) model was used as the concept model for this simulation. In developing this model, we have focused on the following two issues: (i) characteristics of agent and contents, and (ii) agent decision rules regarding sending, receiving and searching contents. The simulator processes communications among the agents and uncovers emerging social behavior. Assuming parameters of this generic scenario, the simulation results show that the network possesses scale-free and small-world properties.