Behavior and Evolutionary Dynamics in Crowd Networks An Evolutionary Game Approach

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 eme...

Full description

Bibliographic Details
Main Authors: Chen, Yan, Zhao, H. Vicky (Author)
Format: eBook
Language:English
Published: Singapore Springer Nature Singapore 2020, 2020
Edition:1st ed. 2020
Series:Lecture Notes in Social Networks
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
LEADER 02030nmm a2200361 u 4500
001 EB001899558
003 EBX01000000000000001062467
005 00000000000000.0
007 cr|||||||||||||||||||||
008 200810 ||| eng
020 |a 9789811571602 
100 1 |a Chen, Yan 
245 0 0 |a Behavior and Evolutionary Dynamics in Crowd Networks  |h Elektronische Ressource  |b An Evolutionary Game Approach  |c by Yan Chen, H. Vicky Zhao 
250 |a 1st ed. 2020 
260 |a Singapore  |b Springer Nature Singapore  |c 2020, 2020 
300 |a XVII, 135 p. 68 illus., 60 illus. in color  |b online resource 
505 0 |a Introduction -- Evolutionary Dynamics with Rational Users -- “Irrational” Behavior Analysis -- “Smart” Evolution with Indirect Reciprocity -- User Heterogeneity -- Evolution of Correlated Events -- Concluding Remarks 
653 |a Social media 
653 |a Application software 
653 |a Graph Theory 
653 |a Signal, Speech and Image Processing 
653 |a Social Media 
653 |a Computer and Information Systems Applications 
653 |a Signal processing 
653 |a Graph theory 
700 1 |a Zhao, H. Vicky  |e [author] 
041 0 7 |a eng  |2 ISO 639-2 
989 |b Springer  |a Springer eBooks 2005- 
490 0 |a Lecture Notes in Social Networks 
028 5 0 |a 10.1007/978-981-15-7160-2 
856 4 0 |u https://doi.org/10.1007/978-981-15-7160-2?nosfx=y  |x Verlag  |3 Volltext 
082 0 |a 005.3 
520 |a 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.