International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Since Year 2012 | Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064




Downloads: 109

M.Tech / M.E / PhD Thesis | Computer Science & Engineering | India | Volume 4 Issue 11, November 2015


Identify Ranking Position with Web Forum Users

Kavitha.D [2] | P. Sathyapriya


Abstract: In the recent past, it has been found that the web is also being used as a tool by radical or extremist groups and users to practice several kinds of mischievous acts with concealed agendas and promote ideologies in a sophisticated manner. Some of the web forums are predominantly being used for open discussions on critical issues influenced by radical thoughts. The influential users dominate and influence the newly joined innocent users through their radical thoughts. This paper presents an application of collocation theory to identify radically influential users in web forums. The radicalness of a user is captured by a measure based on the degree of match of the commented posts with a threat list. Eleven different collocation metrics are formulated to identify the association among users, and they are finally embedded in a customized Page Rank algorithm to generate a ranked list of radically influential users. Collocation theory is more effective to deal with such ranking problem than the textual and temporal similarity-based measures studied earlier.


Keywords: Social Media, Web Forum Discussions, Influential users, Ranking


Edition: Volume 4 Issue 11, November 2015,


Pages: 1144 - 1146

Identify Ranking Position with Web Forum Users


How to Cite this Article?

Kavitha.D, P. Sathyapriya, "Identify Ranking Position with Web Forum Users", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=NOV151273, Volume 4 Issue 11, November 2015, 1144 - 1146, #ijsrnet

How to Share this Article?

Enter Your Email Address




Similar Articles with Keyword 'Social Media'

Downloads: 1

Student Project, Computer Science & Engineering, India, Volume 10 Issue 12, December 2021

Pages: 1357 - 1360

An Opinion Mining for Indian Premier League Using Machine Learning Techniques

Rakshith N | Suraj B S | Chethana C

Share this Article

Downloads: 2 | Weekly Hits: ⮙1 | Monthly Hits: ⮙2

Research Paper, Computer Science & Engineering, India, Volume 11 Issue 3, March 2022

Pages: 1275 - 1279

A Novel Technique for Authorship Verification of Hijacked Online Social Networks User Accounts

Astha Gupta [2] | Mahesh Parmar

Share this Article


Top