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基于加权小世界网络理论,以人人网为实验平台,分析目前社交网络站点信息内容积累困难、“信息孤岛”现象泛滥导致的用户获取信息重复率高、同质化高的现状及其解决方式。在利用社会网络站点成员间的特征关系长度和聚类系数来表征社会网络站点的信息传播频率、集中度时,发现当这些要素保持在一个特定的水平时,才能有效地促进社群的信息传播与获取。
Based on Weighted Small World Network Theory and Renren as an experimental platform, this paper analyzes the current situation of high repetition rate and high homogeneity of user’s acquired information caused by the phenomenon of accumulation of information content in social network sites and the proliferation of information silos Solution. When we use the length of feature relationship and clustering coefficient of social network site members to characterize the frequency and concentration of information transmission in social network sites, we find that when these elements are kept at a specific level, we can effectively promote the community information dissemination Get with.