@Article{MaiaOlivQuilMaca:2017:CoDeCo,
author = "Maia, Daniel Marcos Nogueira and Oliveira, Jo{\~a}o Eliakin Mota
de and Quiles, Marcos G. and Macau, Elbert Einstein Nehrer",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Universidade Federal
de S{\~a}o Paulo (UNIFESP)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)}",
title = "Community detection in complex networks via adapted Kuramoto
dynamics",
journal = "Communications in Nonlinear Science and Numerical Simulation",
year = "2017",
volume = "53",
pages = "130--141",
month = "Dec.",
keywords = "Community detection, Kuramoto model.",
abstract = "Based on the Kuramoto model, a new network model, namely, the
generalized Kuramoto model with Fourier term, is introduced for
studying community detection in complex networks. In particular,
the Fourier term provides a natural phase locking of the
trajectories into a pre-defined number of clusters. A mathematical
approach is used to study the behavior of the solutions and its
properties. Conditions for properly choosing the coupling
parameters so that phase locking takes place are presented and a
quality function called clustering density is introduced to
measure the effectiveness of the communities identification.
Illustrations with real and synthetic networks with community
structure are presented.",
doi = "10.1016/j.cnsns.2017.05.002",
url = "http://dx.doi.org/10.1016/j.cnsns.2017.05.002",
issn = "1007-5704",
language = "en",
targetfile = "maia_community.pdf",
urlaccessdate = "27 abr. 2024"
}