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Evolving dynamical networks: A formalism for describing complex systems
Authors:Thomas E. Gorochowski  Mario Di Bernardo  Claire S. Grierson
Affiliation:1. Bristol Centre for Complexity Sciences, Department of Engineering Mathematics, University of Bristol, Bristol BS8 1TR, United Kingdom;2. Department of Engineering Mathematics, University of Bristol, Bristol BS8 1TR, United Kingdom;3. Department of Systems and Computer Sciences, University of Naples Federico II, Via Clandio 21, 80125 Napoli, Italy;4. School of Biological Sciences,University of Bristol, Bristol, BS8 1UG,United Kingdom
Abstract:We introduce a comprehensive formalism called an Evolving Dynamical Network (EDN) that aims to provide a common description for many types of complex system in applied science and engineering. We expand the currently available formalisms and define a new modeling framework able to incorporate network topology, dynamics, and evolution in an integrated way. Although the main focus is to provide a common framework, we find that evolving dynamical networks also highlight several interesting implications regarding possible control mechanisms for complex systems. A physical example is used throughout to illustrate the advantages and limitations of the various approaches described in the article. © 2011 Wiley Periodicals, Inc. Complexity, 2011
Keywords:complex systems  network dynamics  network evolution
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