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User Interaction Within Online Innovation Communities: A Social Network Analysis

Author

Listed:
  • Jiali Chen

    (School of Management Engineering, Shandong Jianzhu University, China)

  • Yiying Li

    (Business School, Shandong Normal University, China)

  • Mengzhen Feng

    (School of Management Engineering, Shandong Jianzhu University, China)

  • Xinru Zhang

    (School of Computer Science and Technology, Shandong Jianzhu University, China)

Abstract

In the digital era, enterprises have established online innovation communities to attract customers to participate. Presented in this study is user interactions within these communities using social network analysis. By identifying distinct subgroups within the network and comparing the user interactions among these subgroups, this research aims to identify the group diversity of online interactions. The findings indicate that dialogists are more willing to interact and hold a favorable network position, followed by questioners, while answerers have the lowest level of interaction. User subgroups are identified using k-core analysis. The higher the value of the core k, the more interactions between users in the k-core subgroup and the better the network position. By combining both ego-centered and group dimensions of online interaction characteristics, this paper also outlines an investigation into an empirical study on the influence of user interactions on community recognition. The results confirm heterogeneous effects among different subgroups.

Suggested Citation

  • Jiali Chen & Yiying Li & Mengzhen Feng & Xinru Zhang, 2023. "User Interaction Within Online Innovation Communities: A Social Network Analysis," International Journal of Web Services Research (IJWSR), IGI Global, vol. 20(1), pages 1-19, January.
    • Handle: RePEc:igg:jwsr00:v:20:y:2023:i:1:p:1-19
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    References listed on IDEAS

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    1. Joana Costa & Inês Amorim & João Reis & Nuno Melão, 2023. "User communities: from nice-to-have to must-have," Journal of Innovation and Entrepreneurship, Springer, vol. 12(1), pages 1-35, December.
    2. Wei Guo & Ruo-Yu Liang & Lei Wang & Wei Peng, 2017. "Exploring sustained participation in firm-hosted communities in China: the effects of social capital and active degree," Behaviour and Information Technology, Taylor & Francis Journals, vol. 36(3), pages 223-242, March.
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