Capability, Opportunity, and Motivation in a Social Multiplayer Online Game: Player Influence Dynamics in <i>Sky: Children of Light</i>

This study investigates networked social influence in Sky: Children of the Light , a social multiplayer online game. Drawing on survey responses ( n = 9,254) and in-game data from over 660,000 players, we use an innovative graph-based machine learning approach to quantify how individuals influence others’ playtime, and regression analyses to test predictors from the COM-B model. Results show that Capability enhances influence, although excessive task focus correlates negatively with social impact; Opportunity emerges as the strongest predictor, with active social interactions significantly boosting influence; and Motivation varies by playstyle, with socializers and competitors demonstrating greater influence than narrative-focused players. By applying the COM-B model in a digital gaming context, this research highlights behavioral dimensions of player influence and employs a novel metric for quantifying interpersonal influence. These findings suggest practical implications for game design, particularly by highlighting how social interaction opportunities and different player motivations shape influence within communities.

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Publication Details

Journal
Social Science Computer Review
Published
2026-01-19
DOI
https://doi.org/10.1177/08944393251414170
Primary Topic
Digital Games and Media
Type
article
Field-Weighted Citation Impact
0.00
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article

Capability, Opportunity, and Motivation in a Social Multiplayer Online Game: Player Influence Dynamics in Sky: Children of Light

Dmitri Williams, Sinong Zhou, Aimei Yang, Donggyu Kim et al.
Social Science Computer Review
Digital Games and Media
article

Capability, Opportunity, and Motivation in a Social Multiplayer Online Game: Player Influence Dynamics in Sky: Children of Light

Dmitri Williams, Sinong Zhou, Aimei Yang, Donggyu Kim, Wen Zeng, Chandni Kumar
article en

Abstract

This study investigates networked social influence in Sky: Children of the Light , a social multiplayer online game. Drawing on survey responses ( n = 9,254) and in-game data from over 660,000 players, we use an innovative graph-based machine learning approach to quantify how individuals influence others’ playtime, and regression analyses to test predictors from the COM-B model. Results show that Capability enhances influence, although excessive task focus correlates negatively with social impact; Opportunity emerges as the strongest predictor, with active social interactions significantly boosting influence; and Motivation varies by playstyle, with socializers and competitors demonstrating greater influence than narrative-focused players. By applying the COM-B model in a digital gaming context, this research highlights behavioral dimensions of player influence and employs a novel metric for quantifying interpersonal influence. These findings suggest practical implications for game design, particularly by highlighting how social interaction opportunities and different player motivations shape influence within communities.

Social Science Computer Review
University of Southern California (US), California Southern University (US)
Reduced inequalities
Openalex Percentile: Top 87%
Digital Games and Media
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