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Erschienen in:
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2020 | OriginalPaper | Buchkapitel

4. “Smart” Evolution with Indirect Reciprocity

verfasst von : Yan Chen, H. Vicky Zhao

Erschienen in: Behavior and Evolutionary Dynamics in Crowd Networks

Verlag: Springer Singapore

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Abstract

When enjoying the convenience of social networks, we are encountering the harm caused by malicious users in social networks as well. In order to reduce their negative effects, it is essential for rational users to carefully screen each connected neighbor to protect themselves from malicious users, implying that establishing a rule for users’ interactions in order to mitigate malicious users’ influences is required. This chapter introduces the reputation mechanism and proposes a smart evolution model based on evolutionary game theory with indirect reciprocity. The model takes into account both the current reputation and instant incentives in users’ decision-making process. After social norms and reputation updating policy are defined, we theoretically analyze the evolutionary dynamics and corresponding evolutionary stable state (ESS) under the proposed scheme. Finally, the validity of the smart evolution model is verified by simulations on synthetic networks, Facebook networks and real-world microblog data set.

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Vorheriges Kapitel “Irrational” Behavior Analysis
Nächstes Kapitel Diffusion of Multi-source Correlated Information
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Metadaten
Titel
“Smart” Evolution with Indirect Reciprocity
verfasst von
Yan Chen
H. Vicky Zhao
Copyright-Jahr
2020
Verlag
Springer Singapore
Buch
Behavior and Evolutionary Dynamics in Crowd Networks

Print ISBN: 978-981-15-7159-6

Electronic ISBN: 978-981-15-7160-2

Copyright-Jahr: 2020

DOI
https://doi.org/10.1007/978-981-15-7160-2_4