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。
In order to analyze the social group network visually,and to make accurate observation of the social group behavior,the social network analysis method named social network data visualization is presented. The social relation network was described as composed of point and line chart. Moreover,we make effective analysis to the node distribution location,the size of the graphics and dotted line density. Using the online visualization analysis technology for social network data, combined with the python visualization and python scientific computing technology,the system enhances the adsorption of websites,and it has gained a good user experience.
出处
《吉林大学学报(信息科学版)》
CAS
2015年第5期584-587,共4页
Journal of Jilin University(Information Science Edition)
基金
国家青年自然科学基金资助项目(61300145)