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【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] Construct a bounded trust model considering the strength of the relationship from the perspective of complex networks, and analyze the evolution mechanism of the views of network cluster behavior in order to provide guidance for guiding and resolving network cluster behavior. 【Method / Process】 Based on the evolution rules of users’ opinions of online community, this paper uses computational experiments to analyze the influence of network structure, relationship strength and opinion leaders on the evolvement of the viewpoints of network cluster behavior actors. [Results / Conclusion] Individuals in sparse network structure have fewer objects for interaction and less time for aggregation, which is beneficial for aggregation of viewpoints in the online community. Strong relationships are more conducive to quick aggregation of viewpoints in the online community, The number of perspectives and the variance of opinion distribution at the time of reaching steady state are all less than that of the weak relationship environment. The opinion leaders play a leading role in the evolution of the viewpoint, and the views of the dispersed group point of view toward the opinion leader are eventually shifted.