Title: Data clustering with edge domination in complex networks,
Abstract: This paper presents a model for a dynamical system where particles dominate
edges in a complex network. The proposed dynamical system is then extended to
an application on the problem of community detection and data clustering. In
the case of the data clustering problem, 6 different techniques were simulated
on 10 different datasets in order to compare with the proposed technique. The
results show that the proposed algorithm performs well when prior knowledge of
the number of clusters is known to the algorithm.