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社会网络数据的可视化
引用本文:朱琪,于济坤,王明德,丁洪超,贺嘉楠,隋鹏,董立岩.社会网络数据的可视化[J].吉林大学学报(信息科学版),2015,33(5):584.
作者姓名:朱琪  于济坤  王明德  丁洪超  贺嘉楠  隋鹏  董立岩
作者单位:1. 吉林大学计算机科学与技术学院, 长春130012; 2. 中国建设银行股份有限公司审计部, 北京100033
基金项目:国家青年自然科学基金资助项目(61300145)
摘    要:为直观地分析社会群体网络, 观测社会群体行为, 提出了社交网络数据的可视化分析方法。该方法将社会关系网络描绘成由点和线组成的图, 再对图形中的节点分布位置、节点的大小以及点线密度等进行有效分析。运用在线社会网络数据可视化分析技术, 结合python 可视化与python 科学计算技术, 增强了网站的吸附性, 获得了较好的用户体验。

关 键 词:社交网络  数据可视化  社会群体行为  python  科学计算  
收稿时间:2015-06-21

Data Visualization for Social Network
ZHU Qi,YU Jikun,WANG Mingde,DING Hongchao,HE Jianan,SUI Peng,DONG Liyan.Data Visualization for Social Network[J].Journal of Jilin University:Information Sci Ed,2015,33(5):584.
Authors:ZHU Qi  YU Jikun  WANG Mingde  DING Hongchao  HE Jianan  SUI Peng  DONG Liyan
Institution:1. College of Computer Science and Technology, Jilin University, Changchun 130012, China;2. Audit Department, China Construction Bank Corporation, Beijing 100033, China
Abstract:In order to analyze the social group network visually, and to make accurate observation of the socialgroup behavior, the social network analysis method named social network data visualization is presented. Thesocial relation network was described as composed of point and line chart. Moreover, we make effective analysisto the node distribution location, the size of the graphics and dotted line density. Using the online visualizationanalysis technology for social network data, combined with the python visualization and python scientificcomputing technology, the system enhances the adsorption of websites, and it has gained a good user experience
Keywords:social network  data visualization  social group behavior  python scientific computation  
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