Community Recommendation in Social Network Using Quasi-Clique Approach

Ms Pooja C, Ms Kavya Ravishankar


A social networking service is a platform to 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 now a days 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 and using clique and quasi-clique concepts introduced in graph mining, we recommend suitable communities for a user in a social network.

Keywords—Text mining;User area of intrest; Quaci-cligue; Community Recommendation;

Full Text:


Copyright (c) 2016 Ms Pooja C, Ms Kavya Ravishankar

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.


All published Articles are Open Access at 

Paper submission: