Analysis of Diversity and Dynamics in Co-evolution of Cooperation in Social Networking Services

Yutaro Miura, Fujio Toriumi, Toshiharu Sugawara

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

Abstract

How users of social networking services (SNSs) dynamically identify their own reasonable strategies was investigated by applying a co-evolutionary algorithm to an agent-based game theoretic model of SNSs. We often use SNSs such as Twitter, Facebook, and Instagram, but we can also freeride without providing any content because providing information incurs costs to us. Numerous studies on evolutionary network analysis have been conducted to investigate why people continue to post articles. In these studies, genetic algorithms (GAs) have often been used to find reasonable strategies for SNS users. Although the evolved strategies in these studies are usually common among all users, the appropriate strategies for them must be diverse because the strategies are used in various circumstances. In this paper, we present our analysis using a co-evolutionary algorithm, multiple-world GA (MWGA), the various strategies for individual agents involving co-evolution with their neighboring agents. We also present the fitness value we obtained, a value that was higher than those obtained using the conventional GA. Finally, we show that the MWGA enables us to observe dynamic processes of co-evolution, i.e., why agents reach their own strategies in different circumstances. This analysis is helpful to understand various users’ behaviors through mutual interactions with neighboring users.

Original languageEnglish
Title of host publicationComplex Networks and Their Applications VIII - Volume 1 Proceedings of the 8th International Conference on Complex Networks and Their Applications, COMPLEX NETWORKS 2019
EditorsHocine Cherifi, Sabrina Gaito, José Fernendo Mendes, Esteban Moro, Luis Mateus Rocha
PublisherSpringer
Pages495-506
Number of pages12
ISBN (Print)9783030366865
DOIs
Publication statusPublished - 2020
Event8th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2019 - Lisbon, Portugal
Duration: 2019 Dec 102019 Dec 12

Publication series

NameStudies in Computational Intelligence
Volume881 SCI
ISSN (Print)1860-949X
ISSN (Electronic)1860-9503

Conference

Conference8th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2019
CountryPortugal
CityLisbon
Period19/12/1019/12/12

Keywords

  • Coevolutionary dynamics
  • Complex networks
  • Public goods game
  • Social networking services

ASJC Scopus subject areas

  • Artificial Intelligence

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  • Cite this

    Miura, Y., Toriumi, F., & Sugawara, T. (2020). Analysis of Diversity and Dynamics in Co-evolution of Cooperation in Social Networking Services. In H. Cherifi, S. Gaito, J. F. Mendes, E. Moro, & L. M. Rocha (Eds.), Complex Networks and Their Applications VIII - Volume 1 Proceedings of the 8th International Conference on Complex Networks and Their Applications, COMPLEX NETWORKS 2019 (pp. 495-506). (Studies in Computational Intelligence; Vol. 881 SCI). Springer. https://doi.org/10.1007/978-3-030-36687-2_41