上海交通大学学报

上海交通大学学报（自然版） ›› 2013, Vol. 47 ›› Issue (01): 155-160.

• 自动化技术、计算机技术 • 上一篇    下一篇

网络舆论演化的高影响力优先有限信任模型

陈桂茸1,2，蔡皖东1，徐会杰1，晏沛湘3，王剑平1   

  1. （1. 西北工业大学 计算机学院, 西安 710072; 2. 空军工程大学 信息与导航学院, 西安 710077；3. 南京军区73685部队, 南京 210016）
  • 收稿日期:2012-05-30 出版日期:2013-01-30 发布日期:2013-01-30
  • 基金资助:

    西北工业大学基础研究基金资助项目（JC201149）

High-Effect Priority Bounded Confidence Model for Network Opinion Evolution

 CHEN  Gui-Rong-1, 2 , CAI  Wan-Dong-1, XU  Hui-Jie-1, YAN  Pei-Xiang-3, WANG  Jian-Ping-1   

  1. (1. School of Computer Science, Northwestern Polytechnical University, Xi’an 710072, China; 2. School of Information and Navigation, Air Force Engineering University, Xi’an 710077, China; 3. Nanjing Military Region 73658 Forces, Nanjing 210016, China)
  • Received:2012-05-30 Online:2013-01-30 Published:2013-01-30

摘要： 针对经典有限信任模型在观点更新时需考虑其他全部个体的观点，以及虚拟社会网络规模巨大、用户时间和精力有限等问题，提出了基于影响力和信任阈值、含有双重选择机制的网络舆论演化模型，并对参与网络舆论演化个体的观点坚持策略进行建模，在多个参数集下对该模型与经典有限信任模型进行仿真.结果表明，所获得结果与实际网络舆论演化的情况相符.   

关键词: 网络舆论演化, 高影响力, 优先, 有限信任模型, 观点坚持策略

Abstract: Artificial social networks which include thousands of members have become an important platform for network opinion evolution. People will not try their best to get and consider all other people’s opinions when they give their opinions in Internet, because they do not have enough time and energy to do this, and they don’t think it is necessary. But in bounded confidence model, it needs to take into account all the other people’s opinions when any people update his opinion, which is in conflict with the real networks. To solve this problem, a novelty network opinion evolution model with dualchoices based on effect and confidence was proposed, according to human behavioral patterns in real networks, and a model of people’s opinion insistence strategy was made. The new model and the bounded confidence model with different sets of parameters were simulated for many times, and the results are in good agreement with what happened in real networks.

Key words: network opinion evolution, high-effect, priority, bounded confidence model, opinion insistence strategy

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