Research Article Open Access

A STUDY OF SPAM DETECTION ALGORITHM ON SOCIAL MEDIA NETWORKS

Saini Jacob Soman1 and S. Murugappan2
  • 1 Sathyabama University, India
  • 2 Annamalai University, India
Journal of Computer Science
Volume 10 No. 10, 2014, 2135-2140

DOI: https://doi.org/10.3844/jcssp.2014.2135.2140

Submitted On: 21 November 2013 Published On: 8 July 2014

How to Cite: Soman, S. J. & Murugappan, S. (2014). A STUDY OF SPAM DETECTION ALGORITHM ON SOCIAL MEDIA NETWORKS. Journal of Computer Science, 10(10), 2135-2140. https://doi.org/10.3844/jcssp.2014.2135.2140

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.

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Keywords

  • Spam Detection
  • Spam Analysis
  • Feature Extraction