Behavior and Evolutionary Dynamics in Crowd Networks
An Evolutionary Game Approach
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Beschreibung
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.
This book offers a holistic framework to study behavior and evolutionary dynamics in large-scale, decentralized, and heterogeneous crowd networks. In the emerging crowd cyber-ecosystems, millions of deeply connected individuals, smart devices, government agencies, and enterprises actively interact with each other and influence each other’s decisions. It is crucial to understand such intelligent entities’ behaviors and to study their strategic interactions in order to provide important guidelines on the design of reliable networks capable of predicting and preventing detrimental events with negative impacts on our society and economy.
This book 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 behavioron the network evolution process and demonstrates how this can help improve network performance.Intended for graduate students and researchers from various disciplines, including but not limited to, data science, networking, signal processing, complex systems, and economics, the book encourages researchers in related research fields to explore the many untouched areas in this domain, and ultimately to design crowd networks with efficient, effective, and reliable services.
Combines mathematical tools and engineering concepts with ideas from sociology, biology, and game theory and proposes an interdisciplinary approach to model intelligent entities’ decision-making process and their interactions Introduces a holistic framework to theoretically study behavior dynamics and investigates a scenario where some users are irrational and/or malicious Explores new challenges in crowd networks, such as the impact of user heterogeneity on evolutionary dynamics and the evolution of correlated events Offers important guidelines on the design of efficient, effective, and reliable crowd networks
Autor*in
Yan Chen
Themen in »Behavior and Evolutionary Dynamics in Crowd Networks«
Crowd networks Behavior dynamics Evolutionary dynamics Evolutionary game theory Irrational behavior Indirect reciprocity User heterogeneity