摘要
对国内外主流的社交媒体及特点进行简要介绍,并探索数据挖掘在社团和影响力分析等主要研究方向的技术,然后应用了关系图模型对所试验的社交网站的结构和用户数据进行分析,包括节点出入度及分布、关系图距离、群组聚类、网络核心节点等方面的研究,最后以Twitter用户数据为例提出了适用于社交网络的可视化分析方案,为不同类型的社交网络数据挖掘的实现提供技术性参考。
A brief introduction of some mainstream social media and their features was given, and the major technologies and research directions of data mining for social network analysis were explored. The graph model was used to analysis the structure and the users' data of the social networking sites. The node access degree and distribution, the diagram distance, group clustering, and other aspects of the network core nodes were discussed in detail. Finally, taking Twitter messages as an example, a visual analysis solution was proposed, which suited for social networking. The technical reference was provided for future implementation of data mining solutions for different types of social network.
出处
《电信科学》
北大核心
2013年第S1期94-101,共8页
Telecommunications Science
关键词
社交网络
数据挖掘
社交图
可视化分析
social networking,data mining,social graph,visual analysis
