Studying cooperation and conflict between authors with history flow visualizations
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Becoming Wikipedian: transformation of participation in a collaborative online encyclopedia
GROUP '05 Proceedings of the 2005 international ACM SIGGROUP conference on Supporting group work
Temporal Analysis of the Wikigraph
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Talk Before You Type: Coordination in Wikipedia
HICSS '07 Proceedings of the 40th Annual Hawaii International Conference on System Sciences
Quantitative analysis of thewikipedia community of users
Proceedings of the 2007 international symposium on Wikis
Harnessing the wisdom of crowds in wikipedia: quality through coordination
Proceedings of the 2008 ACM conference on Computer supported cooperative work
Us vs. Them: Understanding Social Dynamics in Wikipedia with Revert Graph Visualizations
VAST '07 Proceedings of the 2007 IEEE Symposium on Visual Analytics Science and Technology
OCSC'07 Proceedings of the 2nd international conference on Online communities and social computing
Who integrates the networks of knowledge in Wikipedia?
Proceedings of the 6th International Symposium on Wikis and Open Collaboration
Proceedings of the 6th International Symposium on Wikis and Open Collaboration
Analyzing multi-dimensional networks within MediaWikis
Proceedings of the 9th International Symposium on Open Collaboration
Detecting community structure in bipartite networks based on matrix factorisation
International Journal of Wireless and Mobile Computing
Hi-index | 0.00 |
This exploratory study investigates the bipartite network of articles linked by common editors in Wikipedia, 'The Free Encyclopedia that Anyone Can Edit'. We use the articles in the categories (to depth three) of Physics and Philosophy and extract and focus on significant editors (at least 7 or 10 edits per each article). We construct a bipartite network, and from it, overlapping cliques of densely connected articles and editors. We cluster these densely connected cliques into larger modules to study examples of larger groups that display how volunteer editors flock around articles driven by interest, real-world controversies, or the result of coordination in WikiProjects. Our results confirm that topics aggregate editors; and show that highly coordinated efforts result in dense clusters.