Fast identification of network modules by optimization of ratio association

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  • 6 October 2006
Abstract
We introduce a fast method for identifying the modular structures of a network based on the maximization of an objective function: the ratio association. An analogy with kernel k-means methods allows to develop an efficient optimization algorithm, based on the deterministic annealing scheme. The performance of the proposed method is shown on a real data set and on simulated networks.

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