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

Yutaro Miura*, Fujio Toriumi, Toshiharu Sugawara

*この研究の対応する著者

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルComplex Networks and Their Applications VIII - Volume 1 Proceedings of the 8th International Conference on Complex Networks and Their Applications, COMPLEX NETWORKS 2019
編集者Hocine Cherifi, Sabrina Gaito, José Fernendo Mendes, Esteban Moro, Luis Mateus Rocha
出版社Springer
ページ495-506
ページ数12
ISBN(印刷版)9783030366865
DOI
出版ステータスPublished - 2020
イベント8th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2019 - Lisbon, Portugal
継続期間: 2019 12 102019 12 12

出版物シリーズ

名前Studies in Computational Intelligence
881 SCI
ISSN(印刷版)1860-949X
ISSN(電子版)1860-9503

Conference

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

ASJC Scopus subject areas

  • 人工知能

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