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Erschienen in:
2020 | OriginalPaper | Buchkapitel
1. Introduction
verfasst von : Yan Chen, H. Vicky Zhao
Erschienen in: Behavior and Evolutionary Dynamics in Crowd Networks
Verlag: Springer Singapore
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Abstract
In the emerging crowd cyber-eco systems, 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, which provides important guidelines on the design of reliable networks capable of predicting and preventing detrimental events with negative impacts on our society and economy. This chapter introduces basic concepts in behavior and evolutionary dynamics in crowd networks. Using information diffusion over social networks as an example, we discuss challenges in the modeling and analysis of user behavior and their interactions in large-scale, decentralized and heterogeneous networks, and introduce an evolutionary game theoretic framework to study behavior dynamics in crowd networks.