Communities recognition in the Chesapeake Bay ecosystem by dynamical clustering algorithms based on different oscillators systems

Details Communities recognition in the Chesapeake Bay ecosystem by dynamical clustering algorithms based on different oscillators systems Communities recognition in the Chesapeake Bay ecosystem by dynamical clustering algorithms based on different oscillators systems

2008-06-26

arxiv.org/abs/0806.4276v2

Biology

Quantitative Biology

Populations and Evolution

8 pages, 7 figures, Proceedings of the International Workshop on "Ecological Complex Systems: Stochastic Dynamics and Patterns

Scientific paper

10.1140/epjb/e2008-00292-8

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.

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