8 citations · 16 across the 2 of their papers we have counts for
6 papers
Critical parameters of the synchronisation's stability for coupled maps in regular graphs
Juan Gancio, Nicolás Rubido
Coupled Map Lattice (CML) models are particularly suitable to study spatially extended behaviours, such as wave-like patterns, spatio-temporal chaos, and synchronisation. Complete…
Finding the Resistance Distance and Eigenvector Centrality from the Network's Eigenvalues
Caracé Gutiérrez, Juan Gancio, Cecilia Cabeza +1
There are different measures to classify a network's data set that, depending on the problem, have different success. For example, the resistance distance and eigenvector centralit…
Small-worldness favours network inference
Rodrigo A. García, Arturo C. Martí, Cecilia Cabeza +1
A main goal in the analysis of a complex system is to infer its underlying network structure from time-series observations of its behaviour. The inference process is often done by…
Impact of lag information on network inference
Nicolas Rubido, Cristina Masoller
Extracting useful information from data is a fundamental challenge across disciplines as diverse as climate, neuroscience, genetics, and ecology. In the era of ``big data'', data i…
Understanding Information Transmission in Complex Networks
Nicolás Rubido, Celso Grebogi, Murilo S. Baptista
Information Theory concepts and methodologies conform the background of how communication systems are studied and understood. They are mainly focused on the source-channel-receiver…
Successful network inference from time-series data using Mutual Information Rate
E. Bianco-Martinez, N. Rubido, Ch. G. Antonopoulos +1
This work uses an information-based methodology to infer the connectivity of complex systems from observed time-series data. We first derive analytically an expression for the Mutu…