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. \copyright 2011 Wiley Periodicals, Inc. Complexity, 2011
%0 Journal Article
%1 Gorochowski2012
%A Gorochowski, Thomas E.
%A Bernardo, Mario D.
%A Grierson, Claire S.
%D 2012
%J Complexity
%K adaptive-networks formalism graphs networks simulation
%N 3
%P 18--25
%R 10.1002/cplx.20386
%T Evolving dynamical networks: A formalism for describing complex systems
%V 17
%X 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. \copyright 2011 Wiley Periodicals, Inc. Complexity, 2011
@article{Gorochowski2012,
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. {\copyright} 2011 Wiley Periodicals, Inc. Complexity, 2011},
added-at = {2012-07-13T11:42:34.000+0200},
author = {Gorochowski, Thomas E. and Bernardo, Mario D. and Grierson, Claire S.},
biburl = {https://www.bibsonomy.org/bibtex/23a8a16da14f797be3c79ff22b6f5737c/rincedd},
doi = {10.1002/cplx.20386},
interhash = {17bc772f88766489d15990f242c22cda},
intrahash = {3a8a16da14f797be3c79ff22b6f5737c},
journal = {Complexity},
keywords = {adaptive-networks formalism graphs networks simulation},
number = 3,
pages = {18--25},
timestamp = {2012-07-13T11:42:35.000+0200},
title = {Evolving dynamical networks: A formalism for describing complex systems},
volume = 17,
year = 2012
}