Semantic relatedness hits bibliographic data
Proceedings of the eleventh international workshop on Web information and data management
NetLearn: Social Network Analysis and Visualizations for Learning
EC-TEL '09 Proceedings of the 4th European Conference on Technology Enhanced Learning: Learning in the Synergy of Multiple Disciplines
Relationship visualization between books and users based on mining library circulation data
Proceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia
Mining potential research synergies from co-authorship graphs using power graph analysis
International Journal of Web Engineering and Technology
Group and link analysis of multi-relational scientific social networks
Journal of Systems and Software
Visual exploration of academic career paths
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
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Research communities are very important for researchers undertaking new research topics. In this paper, we propose a community mining system using bibliography data in order to find communities of researchers. The basic concept of our study is to provide interactive visualization of both local and global research communities. We implement this concept using actual bibliography data and present a case study using the proposed system.