Semantic Scholar Open Access 2020 12 sitasi

Understanding the game behavior with sentiment and unequal status in cooperation network

Mengmeng Liu Yinghong Ma Le Song Changyu Liu

Abstrak

Abstract Cooperation network is one of the structural social relationships naturally formed in the evolution of human societies. Previous research has focused on well-mixed structures, and yet most individuals in real interactions have sentiments and unequal status in duration and changing in time. This raises the question of whether cooperation can persist despite different sentiments and unequal status of individuals. In this paper, sentiments are included the positive and the negative, and unequal statues are the small node and the big node based the node degree. We develop a game model to study cooperative behaviors based unequal statuses and sentiments, and experimentally examine the model by digital and real networks. Surprisingly, we find that small nodes are more prone to choose positive cooperation relative to comparable big nodes on the promise of enough profits of the tacit knowledge and the excess return. Our results reveal that the unequal status is the hidden mechanism for cooperative behaviors, and provide a new prospective to investigate the evolution of cooperation in more realistic environments.

Topik & Kata Kunci

Penulis (4)

M

Mengmeng Liu

Y

Yinghong Ma

L

Le Song

C

Changyu Liu

Format Sitasi

Liu, M., Ma, Y., Song, L., Liu, C. (2020). Understanding the game behavior with sentiment and unequal status in cooperation network. https://doi.org/10.1016/j.knosys.2020.106588

Akses Cepat

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Informasi Jurnal
Tahun Terbit
2020
Bahasa
en
Total Sitasi
12×
Sumber Database
Semantic Scholar
DOI
10.1016/j.knosys.2020.106588
Akses
Open Access ✓