首页    期刊浏览 2024年10月07日 星期一
登录注册

文章基本信息

  • 标题:Finding Prominent Features in Communities in Social Networks Using Ontology
  • 本地全文:下载
  • 作者:Vijay Nayak ; Bhaskar Biswas
  • 期刊名称:Computer Science & Information Technology
  • 电子版ISSN:2231-5403
  • 出版年度:2014
  • 卷号:4
  • 期号:5
  • 页码:31-36
  • DOI:10.5121/csit.2014.4504
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:Community detection is one of the major tasks in social networks. The success of any communitydepends upon the features that were selected to form the community. So it is important to havethe knowledge of the main features that may affect the community. In this work we haveproposed a method to find prominent features based on which community can be formed.Ontology has been used for the said purpose.
  • 关键词:Social networks; community detection; Ontology; feature selection.
国家哲学社会科学文献中心版权所有