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The Competition of User Attentions Among Social Network Services: A Social Evolutionary Game Approach

机译:社交网络服务中用户注意力的竞争:一种社交进化博弈方法

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摘要

As the total amount of users in the social network services approach the total amount of netizens, social network service providers have to compete with each other for the attention of the existing users, rather than attracting totally new users without any social network service using experiences. Most of the current game theoretical studies on social network services focus on the evolution of the cooperation/defection between users, and the evolution of the structure of the networks for a single social networks, and fail to consider the competition of multiple social networks over a same and stable users group and their user attentions. In this paper, we propose a competitive social evolutionary game model to describe the competition of user attentions among social network services. We introduce the concept of user attention, and the popularity of social networks to describe the local and general user attention distributions, respectively. Our simulation of the competition between two social networks with different initial network structures and cooperation/defection utilities shows that a greater reputation awareness can suppress the influence of the defect temptation value.
机译:随着社交网络服务中用户总数接近网民总数,社交网络服务提供商必须相互竞争以吸引现有用户的注意力,而不是在没有任何使用经验的社交网络服务的情况下吸引全新的用户。当前大多数关于社交网络服务的博弈论研究都集中在用户之间合作/缺陷的演变以及单个社交网络的网络结构的演变上,而没有考虑多个社交网络在竞争中的竞争。相同且稳定的用户组及其用户关注度。在本文中,我们提出了一种竞争性的社会进化博弈模型来描述社交网络服务之间用户注意力的竞争。我们介绍了用户关注度的概念,以及社交网络的流行度,分别描述了本地用户关注度分布和一般用户关注度分布。我们对具有不同初始网络结构和合作/叛逃工具的两个社交网络之间的竞争进行的模拟表明,更高的声誉意识可以抑制缺陷诱惑价值的影响。

著录项

  • 来源
    《Web technologies and applications》|2016年|268-279|共12页
  • 会议地点 Suzhou(CN)
  • 作者单位

    CAS Key Lab of Network Data Science and Technology,Institute of Computing Technology, Chinese Academy of Sciences,Beijing, China;

    CAS Key Lab of Network Data Science and Technology,Institute of Computing Technology, Chinese Academy of Sciences,Beijing, China;

    School of Automation and Electrical Engineering,University of Science and Technology Beijing, Beijing, China;

    CAS Key Lab of Network Data Science and Technology,Institute of Computing Technology, Chinese Academy of Sciences,Beijing, China;

    National Computer Network Emergency Response Technical Team Coordination Center of China, Beijing, China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Social network; User attention; Competitive social evolu-tionary game;

    机译:社交网络;用户注意;竞争性的社会进化游戏;

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