摘要
【目的/意义】从复杂网络视角构建考虑关系强度的有界信任模型,分析网络集群行为的观点演化机制,以期为引导和化解网络集群行为提供指导。【方法/过程】基于网络社群用户观点演化规则,运用计算实验法分析网络结构、关系强度和意见领袖对网络集群行为主体观点演化的影响作用。【结果/结论】稀疏网络结构中的个体进行观点交互的对象较少,聚合需要的时间较少,有利于网络社群观点聚合;强关系更利于网络社群成员观点的快速聚合,且观点聚合达到稳态时的观点数量和观点分布方差均小于弱关系环境下;意见领袖在观点演化过程中发挥主导性作用,分散的群体观点最终朝向意见领袖所持的观点逐渐偏移。
[Purpose/significance] From the perspective of complex networks, We build a bounded trust model to analyze the evolution of public opinion in the network community, in order to resolve the network public opinion crisis timely. [Method/process]The scale-free network was used to design the evolvement rule of user＇s view of network community. The simulation experiment is used to analyze the influence of network structure, relationship strength and opinion leaders on the evolution process of opinion opinion. [Conclusion/conclusion] We conclude that sparse network has less object interaction and less aggregation time, which is beneficial to the aggregation of viewpoints of network community; strong relationship is more favorable for rapid aggregation of viewpoints of network members, the number of opinions and the variance of opinion distribution are both smaller than those in weak relationship environment; opinion leaders play a dominant role in the evolu- tion of the view of the online community, and the divergent views of the group are gradually shifted towards the viewpoint held by opinion leaders.
出处
《情报科学》
CSSCI
北大核心
2017年第5期125-131,共7页
Information Science
基金
国家自然科学基金项目(71271166)
河南省哲学社会科学基金项目(2015BSH016)
关键词
网络社群
网络集群行为
关系强度
观点演化
有界信任模型
network community
online collective behavior
relationship strength
opinion interaction
bounded trust model
