C Conferentia Proceedings
NSC2016-0067 Complex Networks

Community detection using coupled Kuramoto oscillators with conditional repulsion

João Oliveira1; Marcos Daniel Maia1; Elbert Macau1; Marcos Quiles2

1 INPE; 2 UNIFESP

doi:10.20906/CPS/NSC2016-0067

Resumo

From Physics to Sociology, complex networks have been presented ubiquitously in the last decade. A particular feature inherited by almost any real world network is the presence of groups of densely connected nodes, named modules, clusters or communities. In this work, we present a novel model based on coupled Kuramoto oscillators with positive and negative links. Aiming to achieve reliable and efficient community detection, we take advantage of special vertices presented in real networks. This methodology has provided consistent community detection outcomes, which are compared to other related works in literature.

Palavras-chave: Community detection; Kuramoto Oscillator

Como citar

João Oliveira; Marcos Daniel Maia; Elbert Macau; Marcos Quiles. “Community detection using coupled Kuramoto oscillators with conditional repulsion”. 6th International Conference on Nonlinear Science and Complexity. NSC2016. 2016. DOI: 10.20906/CPS/NSC2016-0067