Computer Engineering and Applications ›› 2012, Vol. 48 ›› Issue (35): 34-40.

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Influence strategy for group communication

LI Weijie1,2, CHEN Haiqiang1, CAO Wei1, ZHOU Xin1   

  1. 1.China Information Technology Security Evaluation Center, Beijing 100085, China
    2.Lab of Complex System and Intelligence Science, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
  • Online:2012-12-11 Published:2012-12-21

群体沟通影响策略的研究

李维杰1,2,陈海强1,曹  伟1,周  欣1   

  1. 1.中国信息安全测评中心,北京 100085
    2.中国科学院 自动化研究所 复杂系统与智能科学实验室,北京 100190

Abstract: The simulation platform of group commutation is constructed using technologies from social computing in this paper. It is shown that there are some parallel features between the platform and some real group commutation platforms, such as Bulletin Board Systems(BBS). The features include following ones, the number of posts vs. the number of replies and the number of posts vs. the number of view count both obey the power-law distribution, there are different transform patterns of posts. Based on the simulation platform, the influence strategy for group communication is studied. Quantitative analysis for three different influence strategies is discussed in this paper and the result is helpful to improve commutation in virtual communities or herd.

Key words: herd, group communication, social computing, social intelligence, complex system

摘要: 利用社会计算相关知识,构建了群体沟通仿真平台。实验结果表明,仿真平台的运行结果与分析实际数据的结果相似,主要表现为:话题数与话题的浏览数、回复数的分布分别具有幂律分布特征;话题以不同的模式进行传播。基于构建的群体沟通仿真平台,研究了群体沟通的影响策略,定量分析了三种不同的影响策略,实验结果对促进群体沟通具有一定作用。

关键词: 群体, 群体沟通, 社会计算, 社会智能, 复杂系统