Computational organization theory
Computational organization theory
Maximizing the spread of influence through a social network
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Modeling and Simulating the Dynamics of Service Agent Networks
IAT '05 Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology
A framework for analysis of dynamic social networks
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
From Local Behaviors to the Dynamics in an Agent Network
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
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A social network consists of events and individuals, in which the events denote the activities happening in the system and the individuals denotes the peoples who are attracted into the activities. A memory feature exists in a dynamic social network which leads to the decay of the event attraction, and further influences the structure and the dynamics of the network. In the paper, an agent model for a social memory network is built and implemented. The simulation result reveals the dynamics of the average life span of events. The result also discovers how a social network with a small "diameter" and a large clustering coefficient evolves. The model is validated with the empirical data from USTC Bulletin Board System (BBS).