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<record>
<title>Controlling ecological and biological networks via evolutionary 
modelling</title>
<authors>
<author>Alessandro Ferrarini</author>
</authors>
<journal>Network Biology</journal>
<issn>ISSN 2220-8879</issn>
<homepage>http://www.iaees.org/publications/journals/nb/online-version.asp</homepage>
<year>2013</year>
<volume>3</volume>
<issue>3</issue>
<startpage>97</startpage>
<endpage>105</endpage>
<date>09/2013</date>
<publisher>International Academy of Ecology and Environmental Sciences</publisher>
<keywords>
<keyword>edges control</keyword>
<keyword>genetic algorithms</keyword>
<keyword>network control</keyword>
<keyword>nodes control</keyword>
</keywords>
<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.
</abstract>
<doi>DOI 10.0000/issn-2220-8879-networkbiology-2013-v3-0009</doi>
<url>http://www.iaees.org/publications/journals/nb/articles/2013-3(3)/controlling-ecological-and-biological-networks-via-evolutionary-modelling.pdf</url>
</record>
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