Behavior and Evolutionary Dynamics in Crowd Networks [electronic resource] : An Evolutionary Game Approach /

By:

Chen, Yan [author.]

Contributor(s):

Material type: Text

TextSeries: Lecture Notes in Social NetworksPublisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2020Edition: 1st ed. 2020Description: XVII, 135 p. 68 illus., 60 illus. in color. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9789811571602

Subject(s):

Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification:

005.3 23

LOC classification:

QA76.76.A65

Online resources:

Click here to access online

Contents:

Introduction -- Evolutionary Dynamics with Rational Users -- “Irrational” Behavior Analysis -- “Smart” Evolution with Indirect Reciprocity -- User Heterogeneity -- Evolution of Correlated Events -- Concluding Remarks.

In: Springer Nature eBookSummary: This book offers a holistic framework to study behavior and evolutionary dynamics in large-scale, decentralized, and heterogeneous crowd networks. It reviews the fundamental methodologies to study user interactions and evolutionary dynamics in crowd networks and discusses recent advances in this emerging interdisciplinary research field. Using information diffusion over social networks as an example, it presents a thorough investigation of the impact of user behavior on the network evolution process and demonstrates how this can help improve network performance. .

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This book offers a holistic framework to study behavior and evolutionary dynamics in large-scale, decentralized, and heterogeneous crowd networks. It reviews the fundamental methodologies to study user interactions and evolutionary dynamics in crowd networks and discusses recent advances in this emerging interdisciplinary research field. Using information diffusion over social networks as an example, it presents a thorough investigation of the impact of user behavior on the network evolution process and demonstrates how this can help improve network performance. .

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