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Cited by 287

The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.

The life and death of online gaming communities: a look at guilds in world of warcraft

Ducheneaut, Nicolas, Yee, Nicholas, Nickell, Eric, Moore, Robert J.·2007·Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Abstract

Massively multiplayer online games (MMOGs) can be fascinating laboratories to observe group dynamics online. In particular, players must form persistent associations or "guilds" to coordinate their actions and accomplish the games' toughest objectives. Managing a guild, however, is notoriously difficult and many do not survive very long. In this paper, we examine some of the factors that could explain the success or failure of a game guild based on more than a year of data collected from five World of Warcraft servers. Our focus is on structural properties of these groups, as represented by their social networks and other variables. We use this data to discuss what games can teach us about group dynamics online and, in particular, what tools and techniques could be used to better support gaming communities.

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Metadata

Authors
Ducheneaut, N., Yee, N., Nickell, E., & Moore, R. J.
Venue
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Publisher
ACM
Published
2007-04-29
Pages
839-848
OpenAlex
W2127471749
Cited by
287
References
29
FWCI
36.79
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: The life and death of online gaming communities: a look at guilds in world of warcraft. https://app.cochat.ai/papers/10.1145/1240624.1240750
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Ducheneaut, N., Yee, N., Nickell, E., & Moore, R. J. (2007). The life and death of online gaming communities: a look at guilds in world of warcraft. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/1240624.1240750

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.