Finding Prominent Features in Communities in Social Networks Using Ontology

Community detection is one of the major tasks in social networks. The success of any community depends upon the features that were selected to form the community. So it is important to have the knowledge of the main features that may affect the community. In this work we have proposed a method to find prominent features based on which community can be formed. Ontology has been used for the said purpose.

[1]  Harish Kumar Shakya,et al.  Comparison of Algorithms for Social Networks using Ontology , 2014 .

[2]  Tong Liu,et al.  A Web Search Contextual Crawler Using Ontology Relation Mining , 2009, 2009 International Conference on Computational Intelligence and Software Engineering.

[3]  Liu Chen,et al.  Semantic Description of Social Network Based on Ontology , 2010, 2010 International Conference on E-Business and E-Government.

[4]  Deepak Arora,et al.  An Effective Comparison of Graph Clustering Algorithms via Random Graphs , 2011 .

[5]  Peter Mika.  Ontologies Are Us: A Unified Model of Social Networks and Semantics , 2005, International Semantic Web Conference.

[6]  Moharram Challenger.  The Ontology and Architecture for an Academic Social Network , 2012 .

[7]  K. M. Sam,et al.  Ontology-based text-mining model for social network analysis , 2012, 2012 IEEE International Conference on Management of Innovation & Technology (ICMIT).

[8]  Debajyoti Mukhopadhyay,et al.  A New Approach to Design Domain Specific Ontology Based Web Crawler , 2007 .

[9]  Peng Wu,et al.  Social Network Visualization via Domain Ontology , 2009, 2009 International Conference on Information Engineering and Computer Science.

[10]  Morteza Jamalzadeh,et al.  Using Semantic Web Ontologies for better inter-operability on social network sites , 2011, 2011 IEEE International Conference on Control System, Computing and Engineering.