Controlling ecological and biological networks via evolutionary modelling
Year: 2013
Type: article
Abstract: The controllability of network-like systems is a topical key-issue in many disciplines, including ecology and biology. It relies on the ability to guide a system's behaviour towards the desired state through the appropriate handling of a few input variables. To date, controllability of networks is based on the identification of the set of driver nodes that can guide the system's dynamics. I introduce here a new framework for the controllability of both network nodes and edges based on the use of evolutionary modelling, and provide an exemplification of its application.
Author: Alessandro Ferrarini
Institution: University of Parma
Language: English
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences
SDG: Life on land
Open Access status: green
OpenAlex ID: W2181907040