ACM Home Page
Please provide us with feedback. Feedback
Network analysis of collaboration structure in Wikipedia
Full text PdfPdf (810 KB)
Source
International World Wide Web Conference archive
Proceedings of the 18th international conference on World wide web table of contents
Madrid, Spain
SESSION: Social networks and web 2.0/session: interactions in social communities table of contents
Pages 731-740  
Year of Publication: 2009
ISBN:978-1-60558-487-4
Authors
Ulrik Brandes  University of Konstanz, Konstanz, Germany
Patrick Kenis  TiasNimbas Business School & Tilburg University, Tilburg, Netherlands
Jürgen Lerner  University of Konstanz, Konstanz, Germany
Denise van Raaij  Tilburg University, Tilburg, Netherlands
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 65,   Downloads (12 Months): 214,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

Tools and Actions: Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1526709.1526808
What is a DOI?

ABSTRACT

In this paper we give models and algorithms to describe and analyze the collaboration among authors of Wikipedia from a network analytical perspective. The edit network encodes who interacts how with whom when editing an article; it significantly extends previous network models that code author communities in Wikipedia. Several characteristics summarizing some aspects of the organization process and allowing the analyst to identify certain types of authors can be obtained from the edit network. Moreover, we propose several indicators characterizing the global network structure and methods to visualize edit networks. It is shown that the structural network indicators are correlated with quality labels of the associated Wikipedia articles.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

1
 
2
 
3
U. Brandes and T. Erlebach, editors. Network Analysis. Springer Verlag, 2005.
 
4
 
5
U. Brandes and J. Lerner. Revision and co-revision in Wikipedia. In Proc. Intl. Workshop Bridging the Gap Between Semantic Web and Web 2.0, 4th Europ. Semantic Web Conf. (ESWC'07), pages 85--96, 2007.
6
 
7
U. Brandes and J. Lerner. Visualization of conflict networks. In M. Kauffmann, editor, Building and Using Datasets on Armed Conflicts, volume 36 of NATO Science for Peace and Security Series E: Human and Societal Dynamics. IOS Press, 2008.
 
8
 
9
 
10
P. Doreian, V. Batagelj, and A. Ferligoj. Generalized Blockmodeling. Cambridge University Press, 2004.
 
11
12
13
 
14
A. Kittur, E. Chi, B. A. Pendleton, B. Suh, and T. Mytkowicz. Power of the few vs. wisdom of the crowd: Wikipedia and the rise of the bourgeoisie. In Proc. SIGCHI Conf. Human Factors in Computing Systems, 2007.
15
 
16
P. R. Monge and N. S. Contractor. Theories of Communication Networks. Oxford University Press, 2003.
 
17
P. R. Monge and J. Fulk. Communication technology for global network organizations. In G. DeSanctis and J. Fulk, editors, Shaping organizational form: Communication, connection and community, pages 71--100. Sage, 1999.
 
18
E. W. Myers. An O(nd) difference algorithm and its variations. Algorithmica, 1(1):251--266, 1986.
 
19
S. O'Mahony and F. Ferraro. The emergence of governance in an open source community. The Academy of Management Journal, 50(5):1079--1106, 2007.
 
20
21
 
22
K. G. Provan and H. B. Milward. A preliminary theory of interorganizational network effectiveness: A comparative study of four community mental health systems. Administrative Science Quarterly, 40(1):1--33, 1995.
 
23
K. G. Provan and J. G. Sebastian. Networks within networks: service link overlap, organizational cliques, and network effectiveness. Academy of Management Journal, 41(4):453--462, 1998.
 
24
B. Suh, E. H. Chi, B. A. Pendleton, and A. Kittur. Us vs. them: Understanding social dynamics in Wikipedia with revert graph visualizations. In Proc. IEEE VAST, pages 163--170, 2007.
 
25
T. C. Turner, M. A. Smith, D. Fisher, and H. T. Welser. Picturing usenet: Mapping computer-mediated collective action. Journal of Computer--Mediated Communication, 10(4), 2005.
26
 
27
28
 
29
S. Wasserman and K. Faust. Social Network Analysis: Methods and Applications. Cambridge University Press, 1994.

Collaborative Colleagues:
Ulrik Brandes: colleagues
Patrick Kenis: colleagues
Jürgen Lerner: colleagues
Denise van Raaij: colleagues