Cohesion based personalized community recommendation system

The importance of social networking sites (SNS) in our life is increasing day by day as they are attracting millions of users by their interesting features and activities. Joining different communities is one of the most common activities of users in social network. However, information overloading has troubled many users as thousands of communities are being created each day. To solve this problem, we have introduced a cohesion based community recommendation system where cohesion means high degree of connection among SNS users. Our proposed framework consists of the steps like, extracting sub-network (e.g. Facebook), measuring the friendship factors (both offline and online), measuring user preference factor, calculating threshold from present communities of any user, and finally recommending community based on automatically derived threshold.

[1]  Marjaneh Safaei,et al.  Social Graph Generation & Forecasting Using Social Network Mining , 2009, 2009 33rd Annual IEEE International Computer Software and Applications Conference.

[2]  S. Kadge,et al.  Graph based forecasting for Social networking site , 2012, 2012 International Conference on Communication, Information & Computing Technology (ICCICT).

[3]  Edward Y. Chang,et al.  Combinational collaborative filtering for personalized community recommendation , 2008, KDD.

[4]  George D. C. Cavalcanti,et al.  A graph-based friend recommendation system using Genetic Algorithm , 2010, IEEE Congress on Evolutionary Computation.

[5]  Yong Yu,et al.  Collaborative personalized tweet recommendation , 2012, SIGIR '12.

[6]  Mark H. Chignell,et al.  Automatic detection of cohesive subgroups within social hypertext: A heuristic approach , 2008, New Rev. Hypermedia Multim..

[7]  David Heckerman,et al.  Empirical Analysis of Predictive Algorithms for Collaborative Filtering , 1998, UAI.

[8]  Alexander Tuzhilin,et al.  Towards the Next Generation of Recommender Systems , 2010, ICE-B 2010.

[9]  Jessica Vitak,et al.  Facebook "Friends": How Online Identities Impact Offline Relationships , 2008 .

[10]  Md. Kamrul Hasan,et al.  A cohesion-based friend-recommendation system , 2014, Social Network Analysis and Mining.

[11]  Jure Leskovec,et al.  Community Detection in Networks with Node Attributes , 2013, 2013 IEEE 13th International Conference on Data Mining.

[12]  Jon M. Kleinberg,et al.  Feedback effects between similarity and social influence in online communities , 2008, KDD.