Play is a social activity that enables the formation of full-fledged social networks. Multiplayer games connect users in communities, similar to traditional online social networks, where some individuals influence others’ in-game behavior—“influencers.” However, little is known about how influence operates across games or affects behavior beyond gameplay. To explore this, we analyzed Steam, a game distribution platform that lets us study player behavior at a broader level and compare social contagion from explicit friendships to the implicit in-game connections studied in prior work. While Steam influencers share traits with game influencers, they show distinct behaviors (e.g., game preferences, playtime) and can influence new game adoption. These insights expand our understanding of the Steam community and support previous findings on connectedness and the transfer of social bonds across games.

Stay and Play - Modeling Social Influence of Players in the Steam Gaming Community

Antelmi, Alessia
Co-first
;
2025-01-01

Abstract

Play is a social activity that enables the formation of full-fledged social networks. Multiplayer games connect users in communities, similar to traditional online social networks, where some individuals influence others’ in-game behavior—“influencers.” However, little is known about how influence operates across games or affects behavior beyond gameplay. To explore this, we analyzed Steam, a game distribution platform that lets us study player behavior at a broader level and compare social contagion from explicit friendships to the implicit in-game connections studied in prior work. While Steam influencers share traits with game influencers, they show distinct behaviors (e.g., game preferences, playtime) and can influence new game adoption. These insights expand our understanding of the Steam community and support previous findings on connectedness and the transfer of social bonds across games.
2025
Entertainment Computing – ICEC 2025
Tokyo
27-30 Agosto
Lecture Notes in Computer Science
Springer Science and Business Media Deutschland GmbH
16042 LNCS
263
279
9783032025548
9783032025555
https://link.springer.com/chapter/10.1007/978-3-032-02555-5_19
community; social network analysis; social networks
Loria, Enrica; Antelmi, Alessia; Spagnuolo, Carmine; Pirker, Johanna
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/2097591
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