Discovering Academic Communities and their Research Interests

The paper aims to discover overlapping communities and their research interests in academic social network. The network is constructed based on co-authorships. Cliques are extracted to discover overlapping communities. Keywords used by authors in communities are counted and sorted, and top N keywords are selected to represent their research interests. The experimental results in the field of Information Resource Management testified the effectiveness of proposed method.