Modules identification by a Dynamical Clustering algorithm based on chaotic Rössler oscillators

Abstract

A new dynamical clustering algorithm for the identification of modules in complex networks has been recently introduced \cite{BILPR}. In this paper we present a modified version of this algorithm based on a system of chaotic Roessler oscillators and we test its sensitivity on real and computer generated networks with a well known modular structure.

9 pages, Paper presented at the intern. conf. CTNEXT07, satellite of STAPHYS23, 1-5 july 2007, Catania, Italy http://www.ct.infn.it/ctnext07 Available online at http://proceedings.aip.org/proceedings/confproceed/965.jsp

References in corpus (2)

• Graph equivalence and characterization via a continuous evolution of a physical analog
• Approaches to Network Classification

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