社交网络的有效信息量研究:基于节点强度的分析

    Effective Information in Social Network Based on Strength of Nodes

    • 摘要: 为了研究社交网络中的有效信息量,结合节点度分布和节点强度的概念,提出了一种社交网络中有效信息量的分析方法.首先,基于邓巴数字的理论,提出有效信息量函数,并结合节点强度来描述社交网络节点的有效信息量的变化趋势.其次,通过对Twitter社交图表的研究,得到社交网络的节点度分布函数,并结合有效信息量函数,对给定的社交网络有效信息量进行分析和量化.最后,分析社交网络系统有效信息量的局限和特征,使社交网络的用户能更好地获得自己所需要的信息.研究证明:现在社交网络中的邓巴数字处于210,220,已经超出了150定律,同时,社交网络系统有效信息量也趋于一个特定的值.

       

      Abstract: To study the effective information of social network,based on the theory of node degree distribution and node strength,a method to analyze the effective information in social network was proposed.First,based on Dunbar's number,the node effective information function(NEIF) together with node strength to describe information patterns of social network was proposed.By combining the NEIF with the node degree distribution function(NDDF) which is obtained from Twitter's social graphic,the social networks' effective information was analyzed.Finally,by using effective information function,the limitations and characteristics of effective information in social networks were estimated,and guidelines for better social networking were provided.The research shows that the Dunbar's number is between 210 and 220,which has exceeded the 150 law.At the same time,the effective information of social network tends to be a specific value.

       

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