Evolution of cooperation in SNS-norms game on complex networks and real social networks

Yuki Hirahara, Fujio Toriumi, Toshiharu Sugawara

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    5 Citations (Scopus)

    Abstract

    Social networking services (SNSs) such as Facebook and Google+ are indispensable social media for a variety of social communications, but we do not yet fully understand whether these currently popular social media will remain in the future. A number of studies have attempted to understand the mechanisms that keep social media thriving by using a meta-rewards game that is the dual form of a public goods game. However, the meta-rewards game does not take into account the unique characteristics of current SNSs. Hence, in this work we propose an SNS-norms game that is an extension of Axelrod’s metanorms game, similar to meta-rewards games, but that considers the cost of commenting on an article and who is most likely to respond to it. We then experimentally investigated the conditions for a cooperation-dominant situation in which many users continuing to post articles. Our results indicate that relatively large rewards compared to the cost of posting articles and comments are required, but optional responses with lower cost, such as “Like!” buttons, play an important role in cooperation dominance. This phenomenon is of interest because it is quite different from those shown in previous studies using meta-rewards games.

    Original languageEnglish
    Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    PublisherSpringer Verlag
    Pages112-120
    Number of pages9
    Volume8851
    ISBN (Print)9783319137339
    Publication statusPublished - 2014
    Event6th International Conference on Social Informatics, SocInfo 2014 - Barcelona
    Duration: 2014 Nov 112014 Nov 13

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume8851
    ISSN (Print)03029743
    ISSN (Electronic)16113349

    Other

    Other6th International Conference on Social Informatics, SocInfo 2014
    CityBarcelona
    Period14/11/1114/11/13

    Fingerprint

    Evolution of Cooperation
    Social Networking
    Complex networks
    Complex Networks
    Social Networks
    Reward
    Game
    Norm
    Social Media
    Costs
    Communication
    Likely

    Keywords

    • Agent-based simulation
    • Facebook
    • Metanorms game
    • SNS

    ASJC Scopus subject areas

    • Computer Science(all)
    • Theoretical Computer Science

    Cite this

    Hirahara, Y., Toriumi, F., & Sugawara, T. (2014). Evolution of cooperation in SNS-norms game on complex networks and real social networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8851, pp. 112-120). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8851). Springer Verlag.

    Evolution of cooperation in SNS-norms game on complex networks and real social networks. / Hirahara, Yuki; Toriumi, Fujio; Sugawara, Toshiharu.

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8851 Springer Verlag, 2014. p. 112-120 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8851).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Hirahara, Y, Toriumi, F & Sugawara, T 2014, Evolution of cooperation in SNS-norms game on complex networks and real social networks. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 8851, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8851, Springer Verlag, pp. 112-120, 6th International Conference on Social Informatics, SocInfo 2014, Barcelona, 14/11/11.
    Hirahara Y, Toriumi F, Sugawara T. Evolution of cooperation in SNS-norms game on complex networks and real social networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8851. Springer Verlag. 2014. p. 112-120. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
    Hirahara, Yuki ; Toriumi, Fujio ; Sugawara, Toshiharu. / Evolution of cooperation in SNS-norms game on complex networks and real social networks. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8851 Springer Verlag, 2014. pp. 112-120 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
    @inproceedings{058f41f8b8cd404ba50a30d9c8c45fb5,
    title = "Evolution of cooperation in SNS-norms game on complex networks and real social networks",
    abstract = "Social networking services (SNSs) such as Facebook and Google+ are indispensable social media for a variety of social communications, but we do not yet fully understand whether these currently popular social media will remain in the future. A number of studies have attempted to understand the mechanisms that keep social media thriving by using a meta-rewards game that is the dual form of a public goods game. However, the meta-rewards game does not take into account the unique characteristics of current SNSs. Hence, in this work we propose an SNS-norms game that is an extension of Axelrod’s metanorms game, similar to meta-rewards games, but that considers the cost of commenting on an article and who is most likely to respond to it. We then experimentally investigated the conditions for a cooperation-dominant situation in which many users continuing to post articles. Our results indicate that relatively large rewards compared to the cost of posting articles and comments are required, but optional responses with lower cost, such as “Like!” buttons, play an important role in cooperation dominance. This phenomenon is of interest because it is quite different from those shown in previous studies using meta-rewards games.",
    keywords = "Agent-based simulation, Facebook, Metanorms game, SNS",
    author = "Yuki Hirahara and Fujio Toriumi and Toshiharu Sugawara",
    year = "2014",
    language = "English",
    isbn = "9783319137339",
    volume = "8851",
    series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
    publisher = "Springer Verlag",
    pages = "112--120",
    booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

    }

    TY - GEN

    T1 - Evolution of cooperation in SNS-norms game on complex networks and real social networks

    AU - Hirahara, Yuki

    AU - Toriumi, Fujio

    AU - Sugawara, Toshiharu

    PY - 2014

    Y1 - 2014

    N2 - Social networking services (SNSs) such as Facebook and Google+ are indispensable social media for a variety of social communications, but we do not yet fully understand whether these currently popular social media will remain in the future. A number of studies have attempted to understand the mechanisms that keep social media thriving by using a meta-rewards game that is the dual form of a public goods game. However, the meta-rewards game does not take into account the unique characteristics of current SNSs. Hence, in this work we propose an SNS-norms game that is an extension of Axelrod’s metanorms game, similar to meta-rewards games, but that considers the cost of commenting on an article and who is most likely to respond to it. We then experimentally investigated the conditions for a cooperation-dominant situation in which many users continuing to post articles. Our results indicate that relatively large rewards compared to the cost of posting articles and comments are required, but optional responses with lower cost, such as “Like!” buttons, play an important role in cooperation dominance. This phenomenon is of interest because it is quite different from those shown in previous studies using meta-rewards games.

    AB - Social networking services (SNSs) such as Facebook and Google+ are indispensable social media for a variety of social communications, but we do not yet fully understand whether these currently popular social media will remain in the future. A number of studies have attempted to understand the mechanisms that keep social media thriving by using a meta-rewards game that is the dual form of a public goods game. However, the meta-rewards game does not take into account the unique characteristics of current SNSs. Hence, in this work we propose an SNS-norms game that is an extension of Axelrod’s metanorms game, similar to meta-rewards games, but that considers the cost of commenting on an article and who is most likely to respond to it. We then experimentally investigated the conditions for a cooperation-dominant situation in which many users continuing to post articles. Our results indicate that relatively large rewards compared to the cost of posting articles and comments are required, but optional responses with lower cost, such as “Like!” buttons, play an important role in cooperation dominance. This phenomenon is of interest because it is quite different from those shown in previous studies using meta-rewards games.

    KW - Agent-based simulation

    KW - Facebook

    KW - Metanorms game

    KW - SNS

    UR - http://www.scopus.com/inward/record.url?scp=84914164190&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=84914164190&partnerID=8YFLogxK

    M3 - Conference contribution

    AN - SCOPUS:84914164190

    SN - 9783319137339

    VL - 8851

    T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

    SP - 112

    EP - 120

    BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

    PB - Springer Verlag

    ER -