Networks are often used to represent the relations among the variables of a dynamical system. The properties of network topology are usually exploited to understand the organization of the system. Nevertheless, the dynamical organization of a system might considerably differ from its topological one. In this paper, we describe a method to identify “relevant subsets” of variables. The variables belonging to a relevant subset should be strongly integrated and should have a much weaker interaction with the other system variables. Extending previous works on neural networks, an information-theoretic measure is introduced, i.e., the Dynamical Cluster Index, in order to identify candidate relevant subsets. The method solely relies on observations of the variables’ values in time
Beyond Networks: Search for Relevant Subsets in Complex Systems / Roli, Andrea; Villani, Marco; Filisetti, Alessandro; Serra, Roberto. - (2016), pp. 127-134.
Data di pubblicazione: | 2016 | |
Titolo: | Beyond Networks: Search for Relevant Subsets in Complex Systems | |
Autore/i: | Roli, Andrea; Villani, Marco; Filisetti, Alessandro; Serra, Roberto | |
Autore/i UNIMORE: | ||
Digital Object Identifier (DOI): | http://dx.doi.org/10.1007/978-3-319-24391-7_12 | |
Codice identificativo ISI: | WOS:000577068300012 | |
Serie: | CONTEMPORARY SYSTEMS THINKING | |
Titolo del libro: | Towards a Post-Bertalanffy Systemics | |
A cura di: | Minati, Gianfranco ; Abram, Mario R. ; Pessa, Eliano | |
ISBN: | 978-3-319-24389-4 978-3-319-24391-7 | |
Editore: | Springer | |
Nazione editore: | SVIZZERA | |
Citazione: | Beyond Networks: Search for Relevant Subsets in Complex Systems / Roli, Andrea; Villani, Marco; Filisetti, Alessandro; Serra, Roberto. - (2016), pp. 127-134. | |
Tipologia | Capitolo/Saggio |
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