The Research on Tit-for-Tat Strategy in Network Evolution
For the node who detect most, its neighbors tends to cut their relationship and setup a new line with other neighbor, this situation fit for real world. This paper puts forward a new pseudo value first algorithm based on tit-for-tat strategy in game theory and studies the network statistic characters with the network nodes unchanged. The simulation results show that the new algorithm cannot change scale free character but can change the maximum value in network and its clustering coefficient. On the other hand, we also study the effect of this new algorithm on network community structure, results show it can optimize the community structure.
Complez Network Tit-for-tat tactics Prisoner’s Dilemma Game
Li Sun Lifeng Zhang Yilei Wang
Department of Computer Science & Technology , Ludong University, Shandong Yantai 264025, China
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
4190-4194
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）