社交网站(SNS社区)人际节点空间研究  

Interpersonal Node Spatial Research in Social Networking Sites(SNS Community)

作　　者：路紫[1] 张秋娈[1] 郜芳[1] WU Dianshuang 

机构地区：[1]河北师范大学旅游系,中国河北石家庄050024 [2]Decision Systems & E-Service Intelligence Lab /Centre for Quantum Computation & Intelligent Systems / Faculty of Engineering and Information Technology,University of Technology, Sydney,Australia)

出　　处：《经济地理》2015年第6期17-23,共7页Economic Geography

基　　金：国家自然科学基金项目(41271142)

摘　　要：针对社交网站人际节点半虚拟半现实关系,依托模糊社会网络分析方法,构建了一套指标体系,开发了一个基于模糊图论的模糊中心性分析模型,并通过三个SNS社区案例,从“节点”、“节点联系”、“节点联系的差异”三个层面依次递进,在其人际节点空间关系研究中予以应用。分别统计话题群组好友所在地,构建发帖人、回帖人位置关系网络,作为人际节点空间关系的数据基础。研究发现：人际节点空间分布的信息熵值较低,中心性显著,随距离的增加而衰减,具有明显的本地集中性特征;人际节点的中心性地位存在差异,网络呈现多元中心性,点出度与点入度相左,网络中节点的中心性表现出吸引中心和辐射中心两种基本状态;不同机缘群组间有差异,趣缘关系群组话题的节点空间分布的中心化特征弱于学缘关系群组。由“点分布”、“点间联系强度”和“点群凝聚与集聚”所组成的中心性分析模型,可清晰说明社交网站人际节点模糊中心性的本质。The topic of interpersonal node is getting crucial in the para-virtual and para-real relationship in social network, based on fuzzy social network analysis method, this work construct a set of index, generates a fuzzy centrality analysis method built on fuzzy graph theory. This model is applied in the study of interpersonal node spatial relation; three cases in SNS community are analyzed from three progressive layers：＂node＂, ＂node connection＂, ＂differences in node connection＂. After counting the specific location of friends in a topic group, the location network of the posters and repliers can be formed, from which the data base of interpersonal node spatial relation comes. The article aims to reveal the balance, the centricity and the multivariate centricity of the spatial distribution of interpersonal node in SNS community. The findings are as follow： when the information entropy value is lower in SNS community, there is a significant centrality in interpersonal nodes spatial distribution; it presents the distance decay and the significant local concentration characteristic. For the interpersonal node, there is a significant difference in its the centrality status, the whole network presents a multi-center feature; the in-degree and out-degree of which are different, node centrality in the network presents two basic state： centrality of attractiveness and activeness. Centralization characteristic of nodes spatial distribution takes on a significant difference among different chance groups, the interest margin relation groups is weaker than the learning relations groups. This centrality analysis method is composed of ＂node distribution＂, ＂connection strength between nodes＂ and ＂condensation and cluster between node and group＂. This method can clearly illustrate the nature of fuzzy centrality of the interpersonal node in SNS community.

关 键 词：模糊中心性分析模型 人际节点 空间分布 节点联系 社交网站(SNS社区) 

分 类 号：K901[历史地理—人文地理学]