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

Rasim Alguliyev | Zendy; Ramiz M. Aliguliyev | Zendy; Irada Alakbarova | Zendy

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

Author(s) -

Rasim Alguliyev,

Ramiz M. Aliguliyev,

Irada Alakbarova

Publication year - 2016

Publication title -

international journal of intelligent systems and applications

Language(s) - English

Resource type - Journals

eISSN - 2074-9058

pISSN - 2074-904X

DOI - 10.5815/ijisa.2016.02.03

Subject(s) - computer science , cluster analysis , social network (sociolinguistics) , information extraction , world wide web , information retrieval , fuzzy logic , data mining , data science , social media , artificial intelligence

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.

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