Structuring computer-mediated communication systems to avoid information overload
Communications of the ACM
The Mythical Man-Month: Essays on Softw
The Mythical Man-Month: Essays on Softw
Information Systems Research
Into the Black Box: The Knowledge Transformation Cycle
Management Science
Bayesian Statistics and Marketing
Marketing Science
An Empirical Analysis of Network Externalities in Peer-to-Peer Music-Sharing Networks
Information Systems Research
Communications of the ACM - The semantic e-business vision
Using Online Conversations to Study Word-of-Mouth Communication
Marketing Science
Harnessing the wisdom of crowds in wikipedia: quality through coordination
Proceedings of the 2008 ACM conference on Computer supported cooperative work
Articulations of wikiwork: uncovering valued work in wikipedia through barnstars
Proceedings of the 2008 ACM conference on Computer supported cooperative work
Team Knowledge and Coordination in Geographically Distributed Software Development
Journal of Management Information Systems
Network analysis of collaboration structure in Wikipedia
Proceedings of the 18th international conference on World wide web
A multimethod study of information quality in wiki collaboration
ACM Transactions on Management Information Systems (TMIS)
The Journal of Strategic Information Systems
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User-generated content is increasingly created through the collaborative efforts of multiple individuals. In this paper, we argue that the value of collaborative user-generated content is a function both of the direct efforts of its contributors and of its embeddedness in the content--contributor network that creates it. An analysis of Wikipedia's WikiProject Medicine reveals a curvilinear relationship between the number of distinct contributors to user-generated content and viewership. A two-mode social network analysis demonstrates that the embeddedness of the content in the content--contributor network is positively related to viewership. Specifically, locally central content---characterized by greater intensity of work by contributors to multiple content sources---is associated with increased viewership. Globally central content---characterized by shorter paths to the other collaborative content in the overall network---also generates greater viewership. However, within these overall effects, there is considerable heterogeneity in how network characteristics relate to viewership. In addition, network effects are stronger for newer collaborative user-generated content. These findings have implications for fostering collaborative user-generated content.