• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2011, Vol. 33 ›› Issue (12): 66-71.

• 论文 • 上一篇    下一篇

基于领域本体的社会网络信息分析与可视化

吴〓鹏,李思昆   

  1. (国防科学技术大学计算机学院,湖南 长沙 410073)
  • 收稿日期:2009-12-14 修回日期:2010-03-20 出版日期:2011-12-24 发布日期:2011-12-25

Information Analysis and Visualization of Social Network Based on Domain Ontology

WU Peng,LI Sikun   

  1. (School of Computer Science,National University of Defence Technology,Changsha 410073,China)
  • Received:2009-12-14 Revised:2010-03-20 Online:2011-12-24 Published:2011-12-25

摘要:

社会网络分析与可视化是当前的热门研究领域,但是针对社会网络信息的高效理解与组织的研究成果却十分缺乏。本文提出一种针对社会网络信息的领域本体模型,它对社会网络信息领域的客观存在及其关系进行描述。该模型适合于描述各种社会网络分析与可视化方法,并能针对不同社会网络信息可视化应用进行扩展,克服了传统力导引布局算法在社会网络结构分析与可视化上的不足。其可视化结果能够清晰显示子群分布,表现行动者间的密切程度,显示行动者关键属性分布以及子群内部的角色分布等信息。最后通过恐怖活动信息实例,验证了领域本体模型在社会网络信息分析与显示方面的优越性。

关键词: 社会网络, 领域本体, 信息可视化, 力导引布局算法, 恐怖活动信息

Abstract:

Social network analysis and visualization is an active area of study which lacks good comprehensions and organizations of social network information. This paper proposes a domain ontologies model focusing on social network information, which describes the impersonal existences and the relationships among them in the social network information domain. The model is suitable for describing a wide variety of the social network analysis and visualization methods and can extend easily for different applications of information visualization of the social network. It improves the force directed the layout algorithm for overcoming the disadvantage of traditional force directed layout algorithm in analyzing and visualizing the structure of social network. The graphic results intuitively display the layout of subgroup and the close degree between actors, display key attributes and link characteristics etc. The results with the case of terrorist information show that our model can be excellent in analysis and visualization of social network information.

Key words: social network;domain ontology;information visualization;force directed layout algorithm;terrorist information