%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 }