Abstract: From the geographical perspective,this study aims to explore the spatial distribution characteristics of interpersonal nodes in social networking services community.In order to study the the spatial distribution characteristics of interpersonal nodes and geographical factors in the social networking services community,15 university groups in Kaixin Net are choosen as samples.Two methods of comentropy and degree distribution are used in this study,and the curve model of information flow distance decay of the university groups in Kaixin Net can be evaluated by using Origin.The study findings are: 1) The evenness degree of friends’spatial distribution in university groups of kaixin can be reflected by the size of comentropy value.The lower the comentropy value of spatial distribution of interpersonal nodes is,the more concentrated of the relationship of interpersonal nodes.The comentropy values of friends’spatial distribution in university groups are lower,and the spatial distribution presents two basic characteristics: on the whole,the distribution of friends is not even with significant concentration.The unevenness distribution of friends has a negative correlation with the city economic scale.The economic scale in Shanghai is the highest,and the comentropy value is the lowest.It suggests that the evenness degree of the friends’spatial distribution in this university groups is the lowest,and concentration degree is the highest.This relates to the gravity of economic scale towords people and information flow. 2) The friends spatial distribution in most university groups is fit with the degree distribution-exponential distribution model.Chi2/DoF value in each university group is far less than the critical value of 2,and t values are all bigger than critical value.The R2 of most university groups are more than 0.9.All of these show an obviously degree distribution-exponential distribution.The distribution of the number of friends presents a decay with distance.The higher of the decay coefficient,the stronger distance sensitivity of the distribution of the number of friends is.The friends of the university groups are centralized distribution in the local,and have significant local concentration characteristics.3) In the real world,the establishment of interpersonal node relationship is largely influenced by geopolitical factors.But with the emergence of virtual communities,the interpersonal relationships based on distance constraints have been breakthrough by instant access platform of social network. It will create new human spatial relationships.The local concentration characteristics of friends’spatial distribution in the university groups are related to the geographical factors.The human virtual activity still has historical heredity,and the local concentration characteristic can be explained by geographical factors.Based on geographical factors,the closer of the people,the stronger trust is in them,and easier to establish a relationship. The network users are tend to connect with the people close to them,so the interpersonal node relationship of university group in Kaixin Net presents the local concentration characteristic.In the information age,spatial relationship of interpersonal nodes is still influenced by geographical factors.The restriction of space and the non-restriction of space-time and communication are coexisting in social networking service community.