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Titlebook: Behavior and Evolutionary Dynamics in Crowd Networks; An Evolutionary Game Yan Chen,H. Vicky Zhao Book 2020 Springer Nature Singapore Pte L

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發(fā)表于 2025-3-21 17:29:32 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Behavior and Evolutionary Dynamics in Crowd Networks
期刊簡(jiǎn)稱An Evolutionary Game
影響因子2023Yan Chen,H. Vicky Zhao
視頻videohttp://file.papertrans.cn/183/182775/182775.mp4
發(fā)行地址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 proce
學(xué)科分類Lecture Notes in Social Networks
圖書封面Titlebook: Behavior and Evolutionary Dynamics in Crowd Networks; An Evolutionary Game Yan Chen,H. Vicky Zhao Book 2020 Springer Nature Singapore Pte L
影響因子.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,
Pindex Book 2020
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Book 2020 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 in
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Antigenicity of Human Seminal Plasma, and analyze evolutionary dynamics under several different scenarios. By applying graphical evolutionary game theory (EGT) to information diffusion, we could predict every small change in the process, get the detailed dynamics and finally foretell the stable states.
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E. J. Brandt,R. T. Swank,E. K. Novakental events that affect our society and economy. This chapter reviews essential findings in each chapter and points out a few possible future directions. We aim to encourage researchers from different disciplines to address the challenging issues and explore the untouched territories in this emerging research field.
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