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.
Translated title of the contribution | Evolving dynamical networks: A formalism for describing complex systems |
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Original language | English |
Pages (from-to) | 18-25 |
Number of pages | 8 |
Journal | Complexity |
Volume | 17 |
Issue number | 3 |
DOIs | |
Publication status | Published - 2012 |
Research Groups and Themes
- Engineering Mathematics Research Group