Behavior and Evolutionary Dynamics in Crowd Networks An Evolutionary Game Approach /
Chen, Yan.
Behavior and Evolutionary Dynamics in Crowd Networks An Evolutionary Game Approach / [electronic resource] : by Yan Chen, H. Vicky Zhao. - 1st ed. 2020. - XVII, 135 p. 68 illus., 60 illus. in color. online resource. - Lecture Notes in Social Networks, 2190-5436 . - Lecture Notes in Social Networks, .
Introduction -- Evolutionary Dynamics with Rational Users -- “Irrational” Behavior Analysis -- “Smart” Evolution with Indirect Reciprocity -- User Heterogeneity -- Evolution of Correlated Events -- Concluding Remarks.
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. .
9789811571602
10.1007/978-981-15-7160-2 doi
Application software.
Social media.
Signal processing.
Graph theory.
Computer and Information Systems Applications.
Social Media.
Signal, Speech and Image Processing.
Graph Theory.
QA76.76.A65
005.3
Behavior and Evolutionary Dynamics in Crowd Networks An Evolutionary Game Approach / [electronic resource] : by Yan Chen, H. Vicky Zhao. - 1st ed. 2020. - XVII, 135 p. 68 illus., 60 illus. in color. online resource. - Lecture Notes in Social Networks, 2190-5436 . - Lecture Notes in Social Networks, .
Introduction -- Evolutionary Dynamics with Rational Users -- “Irrational” Behavior Analysis -- “Smart” Evolution with Indirect Reciprocity -- User Heterogeneity -- Evolution of Correlated Events -- Concluding Remarks.
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. .
9789811571602
10.1007/978-981-15-7160-2 doi
Application software.
Social media.
Signal processing.
Graph theory.
Computer and Information Systems Applications.
Social Media.
Signal, Speech and Image Processing.
Graph Theory.
QA76.76.A65
005.3