Call For Paper Volume:4 Issue:10 Oct'2017 |

Recommender system for community in social network

Publication Date : 06/04/2016



Author(s) :

Mangala , AISHWARYA G , APOORVA S P , LEKHASHREE M G.


Volume/Issue :
Volume 3
,
Issue 3
(04 - 2016)



Abstract :

Social networking service is a platform build relations among people who share interests, activities, backgrounds or real-life connections. Communities in a social network are the gathering places for the people with common interest. Social network analysis is in high demand nowadays for the increasing number of users. They involve themselves into different communities. They share post, their views, what they like etc in communities. So it is important for them to find suitable communities where they have common factors like friends, followers and their activities etc. In this paper, we propose a technique for recommending a community in social network like Facebook, Twitter etc Finding strong friends from a user's friend list using clique and quasi-clique concepts introduced in graph mining and also using users area of interest, we recommend suitable communities for a user in a social network.


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Recommender system for community in social network

March 28, 2016