ITM Web Conf.
Volume 12, 2017The 4th Annual International Conference on Information Technology and Applications (ITA 2017)
|Number of page(s)||6|
|Section||Session 3: Computer|
|Published online||05 September 2017|
An Evolutionary Game Model of Multi-Topics Diffusion in Social Network
College of Information System and Management, National University of Defense Technology, Changsha, China
One major function of social networks is the dissemination of information such as news, comments, and rumors. The information passing from a sender to a receiver intrinsically involves both of them by considering their memory, reputation, and preference, which further determine their decisions of whether or not to diffuse the topic. To understand such human aspects of the topics dissemination, we propose a game theoretical model of the multi-topics diffusion mechanisms in a social network. Each individual in the network is considered as both sender and receiver, who transmits different topics taking into account their payoffs and personalities (including memories, reputation and preferences). Several cases were analyzed, and the results suggest that multi-topics dissemination is strongly affected by self-perceived, gregarious and information gain.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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