INVESTIGADORES
ROSSO Osvaldo Anibal
artículos
Título:
Analyzing complex networks evolution through Information Theory Quantifiers
Autor/es:
L. C. CARPI; O. A. ROSSO; P. M. SACO; M. GÓMEZ RAVETTI
Revista:
PHYSICS LETTERS A
Editorial:
ELSEVIER SCIENCE BV
Referencias:
Año: 2011 vol. 375 p. 801 - 804
ISSN:
0375-9601
Resumen:
A methodology to analyze dynamical changes in complex networks based on Information Theory quantifiers is proposed. The square root of the Jensen–Shannon divergence, a measure of dissimilarity between two probability distributions, and the MPR Statistical Complexity are used to quantify states in the network evolution process. Three cases are analyzed, the Watts–Strogatz model, a gene network during the progression of Alzheimer’s disease and a climate network for the Tropical Pacific region to study the El Niño/Southern Oscillation (ENSO) dynamic. We find that the proposed quantifiers are able not only to capture changes in the dynamics of the processes but also to quantify and compare states in their evolution.