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  Evolutionary Dynamics Based on Reputation in Networked Populations With Game Transitions

Zhang, Y., Feng, M., Kurths, J., Szolnoki, A. (2025): Evolutionary Dynamics Based on Reputation in Networked Populations With Game Transitions. - IEEE Transactions on Signal and Information Processing over Networks, 11, 1557-1568.
https://doi.org/10.1109/TSIPN.2025.3636748

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 Creators:
Zhang, Yuji1, Author
Feng, Minyu1, Author
Kurths, Jürgen2, Author           
Szolnoki, Attila1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: The environment undergoes perpetual changes that are influenced by a combination of endogenous and exogenous factors. Consequently, it exerts a substantial influence on an individual's physical and psychological state, directly or indirectly affecting the evolutionary dynamics of a population described by a network, which in turn can also alter the environment. Furthermore, the evolution of strategies, shaped by reputation, can diverge due to variations in multiple factors. To explore the potential consequences of the mentioned situations, this paper studies how game and reputation dynamics alter the evolution of cooperation. Concretely, game transitions are determined by individuals' behaviors and external uncontrollable factors. The cooperation level of its neighbors reflects individuals' reputation, and further, a general fitness function regarding payoff and reputation is provided. Within the context of the donation game, we investigate the relevant outcomes associated with the aforementioned evolutionary process, considering various topologies for distinct interactions. Additionally, a biased mutation is introduced to gain a deeper insight into the strategy evolution. We detect a substantial increase in the cooperation level through intensive simulations, and some important phenomena are observed, e.g., the unilateral increase of the value of prosocial behavior limits promotion in cooperative behavior in square-lattice networks.

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Language(s): eng - English
 Dates: 2025-11-242025-11-24
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1109/TSIPN.2025.3636748
MDB-ID: No data to archive
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
 Degree: -

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Title: IEEE Transactions on Signal and Information Processing over Networks
Source Genre: Journal, SCI, Scopus
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Pages: - Volume / Issue: 11 Sequence Number: - Start / End Page: 1557 - 1568 Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/2373-776X
Publisher: Institute of Electrical and Electronics Engineers (IEEE)