Extraction of Hidden Social Networks from Wiki-Environment Involved in Information Conflict

Social network analysis is a widely used technique to analyze relationships among wiki-users in Wikipedia. In this paper the method to identify hidden social networks participating in information conflicts in wiki-environment is proposed. In particular, we describe how text clustering techniques can be used for extraction of hidden social networks of wiki-users caused information conflict. By clustering unstructured text articles caused information conflict we create social network of wiki-users. For clustering of the conflict articles a hybrid weighted fuzzy-c-means method is proposed.

[1]  Jung-Hua Wang,et al.  A new robust clustering algorithm-density-weighted fuzzy c-means , 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

[2]  Cristina V. Lopes,et al.  Vandalism detection in Wikipedia: a high-performing, feature-rich model and its reduction through Lasso , 2011, Int. Sym. Wikis.

[3]  Ulrike Cress,et al.  Collaborative knowledge building with wikis: The impact of redundancy and polarity , 2012, Comput. Educ..

[4]  Brendan Luyt,et al.  Improving Wikipedia's credibility: References and citations in a sample of history articles , 2010, J. Assoc. Inf. Sci. Technol..

[5]  Pnina Shachaf,et al.  Cross-cultural analysis of the Wikipedia community , 2010 .

[6]  András Kornai,et al.  Dynamics of Conflicts in Wikipedia , 2012, PloS one.

[7]  Ramiz M. Aliguliyev,et al.  Performance evaluation of density-based clustering methods , 2009, Inf. Sci..

[8]  Wesam M. Ashour,et al.  Efficient and Fast Initialization Algorithm for K- means Clustering , 2012 .

[9]  Ramiz M. Aliguliyev,et al.  Clustering of document collection - A weighting approach , 2009, Expert Syst. Appl..

[10]  Insup Lee,et al.  STiki: an anti-vandalism tool for Wikipedia using spatio-temporal analysis of revision metadata , 2010, Int. Sym. Wikis.

[11]  M. Homayounpour,et al.  Bilateral Weighted Fuzzy C-Means Clustering , 2012 .

[12]  Abdolhossein Sarrafzadeh,et al.  Fuzzy C-means based on Automated Variable Feature Weighting , 2013 .

[13]  Paolo Rosso,et al.  Wikipedia Vandalism Detection: Combining Natural Language, Metadata, and Reputation Features , 2011, CICLing.

[14]  Luca de Alfaro,et al.  A content-driven reputation system for the wikipedia , 2007, WWW '07.

[15]  Luca de Alfaro,et al.  Reputation systems for open collaboration , 2011, Commun. ACM.

[16]  Qiang Chen,et al.  Multivariate Statistical Analysis of Audit Trails for Host-Based Intrusion Detection , 2002, IEEE Trans. Computers.

[17]  Hagit Meishar-Tal,et al.  Measuring Collaboration in Educational Wikis - A Methodological Discussion , 2008, iJET.

[18]  Rasim M. Alguliyev,et al.  Cluster approach to the efficient use of multimedia resources in information warfare in wikimedia , 2014, Automatic Control and Computer Sciences.

[19]  Luca de Alfaro,et al.  Detecting Wikipedia Vandalism using WikiTrust - Lab Report for PAN at CLEF 2010 , 2010, CLEF.

[20]  Katy Börner,et al.  Analyzing and visualizing the semantic coverage of Wikipedia and its authors , 2005, Complex..

[21]  P. Gloor,et al.  Analyzing the Creative Editing Behavior of Wikipedia Editors: Through Dynamic Social Network Analysis , 2010 .

[22]  Horng-Lin Shieh.  A Hybrid Fuzzy Clustering Method with a Robust Validity Index , 2014 .

[23]  T. Aswani,et al.  Clustering Sentence-Level Text Using a Novel Fuzzy Relational Clustering Algorithm , 2014 .

[24]  Bo Leuf,et al.  The Wiki Way: Quick Collaboration on the Web , 2001 .

[25]  N. Hara,et al.  Beyond vandalism: Wikipedia trolls , 2010, J. Inf. Sci..

[26]  Pierre Baldi,et al.  Mining and tracking evolving web user trends from large web server logs , 2010 .

[27]  Ramiz M. Aliguliyev,et al.  A new sentence similarity measure and sentence based extractive technique for automatic text summarization , 2009, Expert Syst. Appl..

[28]  Fakhri Karray,et al.  An Efficient Concept-Based Mining Model for Enhancing Text Clustering , 2010, IEEE Transactions on Knowledge and Data Engineering.

[29]  M. P. S. Bhatia,et al.  Discovering Hidden Networks in On-line Social Networks , 2014 .

[30]  James C. Bezdek,et al.  A mixed c-means clustering model , 1997, Proceedings of 6th International Fuzzy Systems Conference.

[31]  Jayaraj Jayabharathy,et al.  Correlated concept based dynamic document clustering algorithms for newsgroups and scientific literature , 2014, Decis. Anal..