Co-authorship 2.0: patterns of collaboration in Wikipedia
|Co-authorship 2.0: patterns of collaboration in Wikipedia|
|Authors:||David Laniado, Riccardo Tasso|
|Citation:||HT '11 - Proceedings of the 22nd ACM conference on Hypertext and hypermedia : . 2011 June 6-9. Eindhoven, The Netherlands. ACM.|
|Publication type:||Conference paper|
|Google Scholar cites:||Citations|
|Added by Wikilit team:||No|
|Article:||Google Scholar BASE PubMed|
|Other scholarly wikis:||AcaWiki Brede Wiki WikiPapers|
|Web search:||Bing Google Yahoo! — Google PDF|
The study of collaboration patterns in wikis can help shed light on the process of content creation by online communities. To turn a wiki's revision history into a collaboration network, we propose an algorithm that identifies as authors of a page the users who provided the most of its relevant content, measured in terms of quantity and of acceptance by the community. The scalability of this approach allows us to study the English Wikipedia community as a co-authorship network. We find evidence of the presence of a nucleus of very active contributors, who seem to spread over the whole wiki, and to interact preferentially with inexperienced users. The fundamental role played by this elite is witnessed by the growing centrality of sociometric stars in the network. Isolating the community active around a category, it is possible to study its specific dynamics and most influential authors.
"Can Wikipedia be studied as a co-authorship network? How can you identify the main contributors of an article? Which collaboration patterns characterize Wikipedia (with respect to traditional scientific communities)? How can you identify the most relevant editors in a given topical category?"
|Topics:||Other collaboration topics, Participation trends, Reputation systems|
|Wikipedia coverage:||Main topic|
|Theories:||"Social network analysis"|
|Data source:||Archival records|
|Collected data time dimension:||Longitudinal|
|Unit of analysis:||Article, Subject, User|
|Wikipedia data extraction:||Missing wikipedia_data_extraction|
|Wikipedia page type:||Article|
""The results mark a considerable difference with respect to most of the scientific collaboration networks: very low values of mean distance and diameter, a quite low and decreasing clustering coefficient, and disassortative mixing by degree. We find evidence of a strong centralization of the network around some stars, a considerable nucleus of very active users, who seem to be omnipresent."
"The disassortativity of the networks is a signal that the most active contributors tend to interact with the less experienced users, spreading over the whole wiki, rather than to collaborate with each other. In this continuous relationship between the core and the periphery of the community can perhaps be found one of the constituting characteristics of the Wikipedia community.""