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Erschienen in:
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2020 | OriginalPaper | Buchkapitel

3. “Irrational” Behavior Analysis

verfasst von : Yan Chen, H. Vicky Zhao

Erschienen in: Behavior and Evolutionary Dynamics in Crowd Networks

Verlag: Springer Singapore

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Abstract

Social networks play an important role in our daily life, and we utilize them to contact with others as well as spreading different kinds of information every day. While enjoying the convenience of social networks, we have to acknowledge that they create some security problems. Wrong, misleading or even harmful information, virus for example, is released and disseminated by malicious users over social networks, which lead to bad influences and severe consequences. Therefore, it is necessary to understand the process of information diffusion and figure out the hazard of malicious users to the whole social network. In this chapter, we employ graphical evolutionary game theory (EGT) to investigate the negative impacts caused by malicious users in information diffusion over social networks, by theoretically analyzing the population dynamics and evolutionary stable strategies. Experiments on synthetic networks, Facebook networks and real-world microblog data set are conducted, and results validate the theoretic derivation.

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Vorheriges Kapitel Evolutionary Dynamics with Rational Users
Nächstes Kapitel “Smart” Evolution with Indirect Reciprocity
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Metadaten
Titel
“Irrational” Behavior Analysis
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_3