DocumentCode :
81223
Title :
Ranking Radically Influential Web Forum Users
Author :
Anwar, Tarique ; Abulaish, Muhammad
Author_Institution :
Centre for Comput. & Eng. Software Syst., Swinburne Univ. of Technol., Hawthorn, VIC, Australia
Volume :
10
Issue :
6
fYear :
2015
fDate :
Jun-15
Firstpage :
1289
Lastpage :
1298
Abstract :
The growing popularity of online social media is leading to its widespread use among the online community for various purposes. 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 PageRank algorithm to generate a ranked list of radically influential users. The experiments are conducted on a standard data set provided for a challenge at ISI-KDD´12 workshop to find radical and infectious threads, members, postings, ideas, and ideologies. Experimental results show that our proposed method outperforms the existing UserRank algorithm. We also found that the collocation theory is more effective to deal with such ranking problem than the textual and temporal similarity-based measures studied earlier.
Keywords :
Internet; data mining; social networking (online); ISI-KDD´12 workshop; UserRank algorithm; collocation metrics; collocation theory; customized PageRank algorithm; infectious threads; online community; online social media; radical threads; radically influential Web forum user ranking; temporal similarity-based measures; textual similarity-based measures; user radicalness; Blogs; Communities; Equations; Mathematical model; Measurement; Media; Message systems; Radical user identification; Security informatics; Social media analysis; Users collocation analysis; radical user identification; security informatics; users collocation analysis;
fLanguage :
English
Journal_Title :
Information Forensics and Security, IEEE Transactions on
Publisher :
ieee
ISSN :
1556-6013
Type :
jour
DOI :
10.1109/TIFS.2015.2407313
Filename :
7050292
Link To Document :
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