Visual Analysis Tool for Bipartite Networks
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part II
Anchored Map: Graph Drawing Technique to Support Network Mining
IEICE - Transactions on Information and Systems
A method for measuring co-authorship relationships in MediaWiki
WikiSym '08 Proceedings of the 4th International Symposium on Wikis
Trend and efficiency analysis of co-authorship network
Scientometrics
Mining potential research synergies from co-authorship graphs using power graph analysis
International Journal of Web Engineering and Technology
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This paper proposed a new approach for collecting, analyzing and visualizing co-authoring data of individuals. This approach can be used for understanding the academic collaboration and knowledge domain of individual researchers in a past period through repetitive co-published works. Particularly we extracted the co-authoring data from the DBLP which is one of the largest on-line Computer Science bibliographic databases available on the Internet. To help users to understand the academic collaboration and knowledge domain of individuals, we developed an InterRing visualizer which shows not only the weight of co-authorship of an individual with other researchers in particular academic year, but also the knowledge domain of the individual that was covered by his/her publications published in a past period.