群体沟通影响策略的研究  

Influence strategy for group communication

作　　者：李维杰[1,2] 陈海强[1] 曹伟[1] 周欣[1] 

机构地区：[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

出　　处：《计算机工程与应用》2012年第35期34-40,92,共8页Computer Engineering and Applications

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。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.

关 键 词：群体 群体沟通 社会计算 社会智能 复杂系统 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]