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Proceedings of 2010 Cross-Strait Conference on Information Science and Technology (CSCIST 2010 E-BOOK)

Qinhuangdao,China,7.9-7.13，2010

ISBN: 978-1-935068-15-0 Scientific Research Publishing, USA

E-Book 840pp Pub. Date: July 2010

Category: Computer Science & Communications

Price: $120

Title: Opinion Dynamics on Adaptive Networks
Source: Proceedings of 2010 Cross-Strait Conference on Information Science and Technology (CSCIST 2010 E-BOOK) (pp 115-118)
Author(s): Fei Xiong, Key Laboratory of Communication & Information Systems (Beijing Jiaotong University),Beijing Municipal Commission of Education, Beijing
Yun Liu, Institute of Network Consensus, Beijing Jiaotong University, Beijing
Abstract: An evolutionary game with incomplete information is proposed to model the opinion formation on adaptive networks. Based on the bounded confidence model of continuous opinion dynamics, we introduce a new strategy that players will break their relationship and establish a new connection if their opinions differ more than the tolerance range. We take into account the discount of this action, which is private information for agents, however, the statistic characteristic is widely known by every one. In virtue of game theory of incomplete information we analyze Bayesian Nash equilibrium by using Harsanyi transformation. Simulation results show the macroscopically ordering process is accelerated in an incomplete information system, where few and large clusters are formed in the steady state and relaxation time is reduced. It is dramatic that with incomplete information opinion clusters and topology clusters become independent of bounded confidence. Although individual discount will get overt under the effect of memory, the influence over the ordering process is inapparent. Moreover, the model could be helpful for understanding some social phenomena of Internet consensus formation, and we provide valuable insights into Internet interactions.
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