@InProceedings{OliveiraMaiaMacaQuil:2016:CoDeUs,
               author = "Oliveira, Jo{\~a}o Eliakin Mota de and Maia, Marcos Daniel 
                         Nogueira and Macau, Elbert Einstein Nehrer and Quiles, Marcos G.",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Universidade Federal de S{\~a}o 
                         Paulo (UNIFESP)}",
                title = "Community detection using coupled Kuramoto oscillators with 
                         conditional repulsion",
                 year = "2016",
         organization = "International Conference on Nonlinear Science and Complexity, 6.",
             keywords = "Complex Networks, Nonlinear Dynamics and Complex Systems, 
                         Synchronization in Nonlinear Systems, Community Detection.",
             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.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos, SP",
      conference-year = "16-20 May",
             language = "en",
           targetfile = "oliveira_community.pdf",
        urlaccessdate = "28 abr. 2024"
}