Communities recognition in the Chesapeake Bay ecosystem by dynamical clustering algorithms based on different oscillators systems
Abstract
We have recently introduced an efficient method for the detection and identification of modules in complex networks, based on the de-synchronization properties (dynamical clustering) of phase oscillators. In this paper we apply the dynamical clustering tecnique to the identification of communities of marine organisms living in the Chesapeake Bay food web. We show that our algorithm is able to perform a very reliable classification of the real communities existing in this ecosystem by using different kinds of dynamical oscillators. We compare also our results with those of other methods for the detection of community structures in complex networks.
Cite
@article{arxiv.0806.4276,
title = {Communities recognition in the Chesapeake Bay ecosystem by dynamical clustering algorithms based on different oscillators systems},
author = {Alessandro Pluchino and Andrea Rapisarda and Vito Latora},
journal= {arXiv preprint arXiv:0806.4276},
year = {2009}
}
Comments
8 pages, 7 figures, Proceedings of the International Workshop on "Ecological Complex Systems: Stochastic Dynamics and Patterns", 22-26 July 2007 - Terrasini (Palermo), Italy