Discovering Academic Communities and their Research Interests

Abstract:

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.

• Periodical: Applied Mechanics and Materials (Volume 743)
• Pages: 607-611
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.743.607
• Online since: March 2015
• Authors: H.Q. Han*, L.J. Zhu, Y. Fu, S. Xu, Z.F. Zhang, C.D. Shi
• Keywords: Academic Social Network, Community Discovery, Overlapping Community, Research Interests Discovery

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