1GeCoDe Laboratory, Department of Computer Science, Tahar Moulay University of Saida, Saida, Algeria
2GeCoDe Laboratory, Department of Computer Science, Tahar Moulay University of Saida, Saida, Algeria
3GeCoDe Laboratory, Department of Computer Science, Tahar Moulay University of Saida, Saida, Algeria
4Director, Department of MCA, Hindustan College of Arts and Science, Bharathiar University, Coimbatore-28, Tamil Nadu, India
Social networks have become a part in the daily life of millions of users, which offer wide range of interests and practices. The main characteristic of social networks is its ability to gather different individuals around a common point of view or collective beliefs. Among the current social networking sites, Facebook is the most popular which has the highest number of users. However, in Facebook, the existence of communities (groups)is a critical question; thus, many researchers focus on potential communities by using techniques like data mining and web mining. In this work, we present four approaches based on link analysis techniques to detect prospective groups and their members.
Social Network Analysis, Link analysis, Facebook, Data mining, Groups
