Journal of Computer Science

A STUDY OF SPAM DETECTION ALGORITHM ON SOCIAL MEDIA NETWORKS

Saini Jacob Soman and S. Murugappan

DOI : 10.3844/jcssp.2014.2135.2140

Journal of Computer Science

Volume 10, Issue 10

Pages 2135-2140

Abstract

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.

Copyright

© 2014 Saini Jacob Soman and S. Murugappan. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.