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		<citationkey>OliveiraMaiaMacaQuil:2016:CoDeUs</citationkey>
		<title>Community detection using coupled Kuramoto oscillators with conditional repulsion</title>
		<year>2016</year>
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		<author>Oliveira, João Eliakin Mota de,</author>
		<author>Maia, Marcos Daniel Nogueira,</author>
		<author>Macau, Elbert Einstein Nehrer,</author>
		<author>Quiles, Marcos G.,</author>
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		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Universidade Federal de São Paulo (UNIFESP)</affiliation>
		<electronicmailaddress>joao.eliakin@inpe.br</electronicmailaddress>
		<electronicmailaddress>mdanielnm@gmail.com</electronicmailaddress>
		<electronicmailaddress>elbert.macau@inpe.br</electronicmailaddress>
		<electronicmailaddress>quiles@unifesp.br</electronicmailaddress>
		<conferencename>International Conference on Nonlinear Science and Complexity, 6</conferencename>
		<conferencelocation>São José dos Campos, SP</conferencelocation>
		<date>16-20 May</date>
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		<keywords>Complex Networks, Nonlinear Dynamics and Complex Systems, Synchronization in Nonlinear Systems, Community Detection.</keywords>
		<abstract>Complex Networks have been presented ubiquitously in the last decade. As a straightforward and efficient framework to represent agents and their relationships, several fields, from Physics to Sociology, have taken advantage of the representation power provided by complex networks. A particular feature inherited by almost any real world network is the presence of groups of densely connected nodes, named modules, clusters or communities. The community organization of the network can provide valuable information about the network, such as the network domain and its organization. In this work, we present a novel model based on coupled Kuramoto oscillators with positive and negative links. Opposing to prior applications of coupled Kuramoto oscillators to detect communities, here we propose a conditional negative coupling that depends on the topological features of selected nodes. By using this new negative coupling, we obtain a more efficient model without degrading the community detection accuracy since, at the dynamical equilibrium, the oscillators will not be all at the same phase as if the standard Kuramoto model is applied, nevertheless, within modules, the phases will tend to be very similar, which allows us to easily detect the existing modules in the complex network.</abstract>
		<area>COMP</area>
		<language>en</language>
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