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June 15, 2026Communication Research0 citationsOpen Access

Co-Opetition in Crowdsourcing Challenges: Comment Network Dynamics and Relational Homophily Among Contestants in Crowdsourcing Challenge Communities

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YLYiqi LiPMPeter MongeJFJanet Fulk

Key Points

  • This research aims to understand how different types of homophily influence network interactions among ideators in a crowdsourcing environment.
  • Conducted longitudinal analysis of comment network events among ideators using relational event models.
  • Examined status homophily based on ideators’ self-reported public profiles and value homophily based on idea submission content.
  • Utilized latent class analysis for multidimensional homophily measurement on submission patterns.
  • Location by country significantly influenced relational events among ideators, while occupational homophily had no effect.
  • Communication patterns were notably influenced by platform content categories, with long-term needs being dominant factors.
  • A model incorporating multidimensional homophily provided improved fit compared to simpler models.

Abstract

Situated in a creative crowdsourcing challenge organizational community, this research examines how different types of homophily affect network formation among ideators, the challenge innovators. Longitudinal analysis of comment network events among ideators was conducted with relational event models. Status homophily was examined based on ideators’ self-reported public profiles. Findings show that ideators’ location by country significantly influences relational events, but occupational homophily did not. Value homophily was examined based on the content similarity of ideators’ idea submissions. Results indicate that ideator’s choices of platform content categories, those that are designed by the challenge management, significantly influenced ideators’ communication patterns. Specifically, long-term needs were a salient homophily factor among platform categories, whereas short-term needs were heterophilous factors. Finally, a multidimensional homophily measurement using latent class analysis on idea-category-submission patterns predicted the occurrences of communication relational events and achieved an improved model fit compared to modeling all platform categories together.

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Cite This Study

Li et al. (2026) studied this question.

synapsesocial.com/papers/6a2f9718a1cfeec4908283a0https://doi.org/10.1177/00936502261458941
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