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The Concomitance of Prosociality and Social Networking Agency

Author

Listed:
  • Danyang Jia

    (School of Cybersecurity, and School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), Northwestern Polytechnical University, CHINA)

  • Ivan Romic

    (School of Cybersecurity, and School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), Northwestern Polytechnical University, CHINA, Center for Computational Social Science, Kobe University, and Research Institute for Economics and Business Administration, Kobe University, JAPAN)

  • Lei Shi

    (School of Statistics and Mathematics, Yunnan University of Finance and Economics, CHINA)

  • Qi Su

    (Department of Automation, Shanghai Jiao Tong University, Key Laboratory of System Control and Information Processing, Ministry of Education of China, and Shanghai Engineering Research Center of Intelligent Control and Management, CHINA)

  • Chen Liu

    (School of Ecology and Environmental Sciences, Northwestern Polytechnical University, CHINA)

  • Jinzhuo Liu

    (School of Software, Yunnan University, CHINA)

  • Petter Holme

    (Center for Computational Social Science, Kobe University, JANPAN and Department of Computer Science, Aalto University, FINLAND)

  • Xuelong Li

    (Institute of Artificial Intelligence (TeleAI), China Telecom, CHINA)

  • Zhen Wang

    (School of Cybersecurity, and School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), Northwestern Polytechnical University, CHINA)

Abstract

The awareness of individuals regarding their social network surroundings and their capacity to use social connections to their advantage are well-established human characteristics. Economic games, incorporated with network science, are frequently used to examine social behaviour. Traditionally, such game models and experiments artificially limit players' abilities to take varied actions toward distinct social neighbours (i.e., to operate their social networks). We designed an experimental paradigm that alters the degree of social network agency to interact with individual neighbours, and applied it to the prisoner's dilemma (N = 735), trust game (N = 735), and ultimatum game (N = 735) to investigate cooperation, trust, and fairness. The freedom to interact led to more prosocial behaviour across all three economic games and resulted in higher wealth and lower inequality compared to controls without such freedom. These findings suggest that human behaviour is more prosocial than current science indicates.

Suggested Citation

  • Danyang Jia & Ivan Romic & Lei Shi & Qi Su & Chen Liu & Jinzhuo Liu & Petter Holme & Xuelong Li & Zhen Wang, 2023. "The Concomitance of Prosociality and Social Networking Agency," Discussion Paper Series DP2023-11, Research Institute for Economics & Business Administration, Kobe University, revised Dec 2024.
    • Handle: RePEc:kob:dpaper:dp2023-11
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    File URL: https://www.rieb.kobe-u.ac.jp/academic/ra/dp/English/DP2023-11.pdf
    File Function: Revised version, 2024
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    Keywords

    Behavioural science; Networks; Cooperation; Prosociality;
    All these keywords.

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