Adaptive Networks: An Emerging Research Theme on State-Topology Coevolution in Complex Networks

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概要

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• Adaptive networks are a particular class of dynamical networks whose topologies and states coevolve over similar time scales. Many real-world complex networks are adaptive networks, including social networks, transportation networks, neural networks and biological networks. This presentation provides a brief overview of the recent rise of research on mathematical/computational modeling and analysis of such networks and discusses current and future research directions.

• 2010-12-09

著者

• Hiroki Sayama

  Binghamton University, State University of New York

• Hiroki Sayama

  Binghamton University State University Of New York

関連論文

• Adaptive Networks: An Emerging Research Theme on State-Topology Coevolution in Complex Networks
• Adaptive Networks: An Emerging Research Theme on State-Topology Coevolution in Complex Networks

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