首页    期刊浏览 2025年03月02日 星期日
登录注册

文章基本信息

  • 标题:A STUDY OF SPAM DETECTION ALGORITHM ON SOCIAL MEDIA NETWORKS
  • 本地全文:下载
  • 作者:Soman, Saini Jacob ; Murugappan, S.
  • 期刊名称:Journal of Computer Science
  • 印刷版ISSN:1549-3636
  • 出版年度:2014
  • 卷号:10
  • 期号:10
  • 页码:2135-2140
  • DOI:10.3844/jcssp.2014.2135.2140
  • 出版社:Science Publications
  • 摘要:In today’s world, the issue of identifying spammers has received increasing attention because of its practical relevance in the field of social network analysis. The growing popularity of social networking sites has made them prime targets for spammers. By allowing users to publicize and share their independently generated content, online social networks become susceptible to different types of malicious and opportunistic user actions. Social network community users are fed with irrelevant information while surfing, due to spammer’s activity. Spam pervades any information system such as e-mail or web, social, blog or reviews platform. Therefore, this study attempts to review various spam detection frameworks which deals about the detection and elimination of spams in various sources.
  • 关键词:Spam Detection; Spam Analysis; Feature Extraction
国家哲学社会科学文献中心版权所有