Analysis of SIGMOD's co-authorship graph
ACM SIGMOD Record
Toolkits for visualizing co-authorship graph
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
Major Information Visualization Authors, Papers and Topics in the ACM Library
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
Bayes net graphs to understand co-authorship networks?
Proceedings of the 3rd international workshop on Link discovery
CGIV '06 Proceedings of the International Conference on Computer Graphics, Imaging and Visualisation
Quantitative analysis of thewikipedia community of users
Proceedings of the 2007 international symposium on Wikis
Cooperation and quality in wikipedia
Proceedings of the 2007 international symposium on Wikis
A comparative study of two automatic document classification methods in a library setting
Journal of Information Science
Analyzing collaborative learning activities in wikis using social network analysis
CHI '09 Extended Abstracts on Human Factors in Computing Systems
What did they do? Deriving high-level edit histories in Wikis
Proceedings of the 6th International Symposium on Wikis and Open Collaboration
Co-authorship 2.0: patterns of collaboration in Wikipedia
Proceedings of the 22nd ACM conference on Hypertext and hypermedia
Visualizing author contribution statistics in Wikis using an edit significance metric
Proceedings of the 7th International Symposium on Wikis and Open Collaboration
Building for social translucence: a domain analysis and prototype system
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work
Exploration and visualization of administrator network in wikipedia
APWeb'12 Proceedings of the 14th Asia-Pacific international conference on Web Technologies and Applications
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Collaborative writing through wikis has become increasingly popular in recent years. When users contribute to a wiki article they implicitly establish a co-authorship relationship. Discovering these relationships can be of value, for example in finding experts on a given topic. However, it is not trivial to determine the main co-authors for a given author among the potentially thousands who have contributed to a given author's edit history. We have developed a method and algorithm for calculating a co-authorship degree for a given pair of authors. We have implemented this method as an extension for the MediaWiki system and demonstrate its performance which is satisfactory in the majority of cases. This paper also presents a method of determining an expertise group for a chosen topic.