Co-authorship 2.0: patterns of collaboration in Wikipedia

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Co-authorship 2.0: patterns of collaboration in Wikipedia
Authors: David Laniado, Riccardo Tasso [edit item]
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
Peer-reviewed: Yes
Database(s): CiteULike
DOI: 10.1145/1995966.1995994.
Google Scholar cites: Citations
Link(s): Paper link
Added by Wikilit team: No
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Format: BibTeX
Co-authorship 2.0: patterns of collaboration in Wikipedia is a publication by David Laniado, Riccardo Tasso.

[edit] Abstract

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.

[edit] Research questions

"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?"

Research details

Topics: Other collaboration topics, Participation trends, Reputation systems [edit item]
Domains: Missing domains [edit item]
Theory type: Analysis [edit item]
Wikipedia coverage: Main topic [edit item]
Theories: "Social network analysis" [edit item]
Research design: [edit item]
Data source: Archival records [edit item]
Collected data time dimension: Longitudinal [edit item]
Unit of analysis: Article, Subject, User [edit item]
Wikipedia data extraction: Missing wikipedia_data_extraction [edit item]
Wikipedia page type: Article [edit item]
Wikipedia language: English [edit item]

[edit] Conclusion

""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.""

[edit] Comments

Further notes[edit]