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Cited by 353

The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.

The social side of gaming: a study of interaction patterns in a massively multiplayer online game

Ducheneaut, Nicolas, Moore, Robert J.·2004·Proceedings of the 2004 ACM conference on Computer supported cooperative work

Abstract

Playing computer games has become a social experience. Hundreds of thousands of players interact in massively multiplayer online games (MMORPGs), a recent and successful genre descending from the pioneering multi-user dungeons (MUDs). These new games are purposefully designed to encourage interactions among players, but little is known about the nature and structure of these interactions. In this paper, we analyze player-to-player interactions in two locations in the game Star Wars Galaxies. We outline different patterns of interactivity, and discuss how they are affected by the structure of the game. We conclude with a series of recommendations for the design and support of social activities within multiplayer games.

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Metadata

Authors
Ducheneaut, N., & Moore, R. J.
Venue
Proceedings of the 2004 ACM conference on Computer supported cooperative work
Publisher
ACM
Published
2004-11-06
Pages
360-369
OpenAlex
W2080422783
Cited by
353
References
20
FWCI
21.59
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: The social side of gaming: a study of interaction patterns in a massively multiplayer online game. https://app.cochat.ai/papers/10.1145/1031607.1031667
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Ducheneaut, N., & Moore, R. J. (2004). The social side of gaming: a study of interaction patterns in a massively multiplayer online game. Proceedings of the 2004 ACM conference on Computer supported cooperative work. https://doi.org/10.1145/1031607.1031667

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.