CiteSeer: an automatic citation indexing system
Proceedings of the third ACM conference on Digital libraries
Introduction to Information Retrieval
Introduction to Information Retrieval
ArnetMiner: extraction and mining of academic social networks
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Characterizing and predicting community members from evolutionary and heterogeneous networks
Proceedings of the 17th ACM conference on Information and knowledge management
MetaFac: community discovery via relational hypergraph factorization
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Uncovering Overlap Community Structure in Complex Networks Using Particle Competition
AICI '09 Proceedings of the International Conference on Artificial Intelligence and Computational Intelligence
Community detection algorithms: a comparative analysis: invited presentation, extended abstract
Proceedings of the Fourth International ICST Conference on Performance Evaluation Methodologies and Tools
Detection of Overlapping Communities in Dynamical Social Networks
SOCIALCOM '10 Proceedings of the 2010 IEEE Second International Conference on Social Computing
Topic-driven multi-type citation network analysis
RIAO '10 Adaptivity, Personalization and Fusion of Heterogeneous Information
Identifying overlapping communities in folksonomies or tripartite hypergraphs
Proceedings of the 20th international conference companion on World wide web
ICDMW '11 Proceedings of the 2011 IEEE 11th International Conference on Data Mining Workshops
Detecting overlapping communities in folksonomies
Proceedings of the 23rd ACM conference on Hypertext and social media
Computer science fields as ground-truth communities: their impact, rise and fall
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
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Citation analysis is a popular area of research, which has been usually used to rank the authors and the publication venues of research papers. With huge number of publications every year, it has become difficult for the users to find relevant publication materials. One simple solution to this problem is to detect communities from the citation network and recommend papers based on the common membership in communities. But, in today's research scenario, many researchers' fields of interest spread into multiple research directions resulting in an increasing number of interdisciplinary publications. Therefore, it is necessary to detect overlapping communities for relevant recommendation. In this paper, we represent publication information as a tripartite 'Publication Hypergraph' consisting of authors, papers and publication venues (conferences/journals) in three partitions. We then propose an algorithm called 'OverCite', which can detect overlapping communities of authors, papers and venues simultaneously using the publication hypergraph and the citation network information. We compare OverCite with two existing overlapping community detection algorithms, Clique Percolation Method (CPM) and iLCD, applied on citation network. The experiments on a large real-world citation dataset show that OverCite outperforms other two algorithms. We also present a simple paper search and recommendation system. Based on the relevance judgements of the users, we further prove the effectiveness of OverCite over other two algorithms.