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以开心网15个大学群为案例,应用信息熵和度分布两种方法,研究了社会性网络服务社区中人际节点空间分布特征及其地缘因素的影响。人际节点是以“好友”关系建立的链接来表达的,研究数据包括通过“成员”体现的好友和通过“话题”体现的好友2个层次,以便可以将虚拟的可能关系变为虚拟现实的确定关系。研究结果如下:①各大学群中好友空间分布信息熵值均较低,即空间分布不均匀,具有显著的集中性,这种非均匀性与城市经济规模有关。②多数大学群中好友空间分布符合度分布模型,随距离的增加而衰减,并具有明显的本地集中特征。③大学群中好友空间分布的本地集中性体现出地缘因素的作用,信息时代地缘因素依然影响着人际节点空间关系的存在形式。
Taking 15 university groups in Kaixin Network as examples, this paper studies the influence of the spatial distribution of interpersonal nodes in social network service community and its geographical factors by using two methods: information entropy and degree distribution. Interpersonal nodes are expressed as links established by the “friends” relationship. The research data includes two levels of friends represented by “members” and friends represented by “topics”, so that the possible relationship between the virtual Become a virtual reality to determine the relationship. The results are as follows: (1) The information entropy of the spatial distribution of friends in each university group is low, that is, the spatial distribution is not uniform and has a significant concentration. This non-uniformity is related to the urban economic scale. ② The distribution of coincidence degree model of the spatial distribution of friends in most university groups decayed with the increase of distance, and had obvious local concentration characteristics. (3) The local concentration of buddies in the university group reflects the geographical factors, and the geo-factors in the information age still affect the existence forms of the spatial relations among the human nodes.