163 citations · 256 across the 8 of their papers we have counts for
8 papers
Beyond the shortest path: the path length index as a distribution
Leonardo B. L. Santos, Luiz Max Carvalho, Giovanni G. Soares +2
The traditional complex network approach considers only the shortest paths from one node to another, not taking into account several other possible paths. This limitation is signif…
From Time Series to Networks in R with the ts2net Package
Leonardo N. Ferreira
Network science established itself as a prominent tool for modeling time series and complex systems. This modeling process consists of transforming a set or a single time series in…
Dynamic Community Detection into Analyzing of Wildfires Events
Alessandra Marli, Didier A Vega-Oliveros, Moshé Cotacallapa +3
The study and comprehension of complex systems are crucial intellectual and scientific challenges of the 21st century. In this scenario, network science has emerged as a mathematic…
Spatiotemporal data analysis with chronological networks
Leonardo N. Ferreira, Didier A. Vega-Oliveros, Moshe Cotacallapa +4
The amount and size of spatiotemporal data sets from different domains have been rapidly increasing in the last years, which demands the development of robust and fast methods to a…
Global Fire Season Severity Analysis and Forecasting
Leonardo N. Ferreira, Didier A. Vega-Oliveros, Liang Zhao +2
In this paper, we divide the globe into a hexagonal grid and we extracted time series of daily fire counts from each cell to estimate and analyze worldwide fire season severity (FS…
The Effect of Time Series Distance Functions on Functional Climate Networks
Leonardo N. Ferreira, Nicole C. R. Ferreira, Elbert E. N. Macau +1
Complex network theory provides an important tool for the analysis of complex systems such as the Earth's climate. In this context, functional climate networks can be constructed u…
From spatio-temporal data to chronological networks: An application to wildfire analysis
Didier A. Vega-Oliveros, Moshé Cotacallapa, Leonardo N. Ferreira +4
Network theory has established itself as an appropriate tool for complex systems analysis and pattern recognition. In the context of spatiotemporal data analysis, correlation netwo…
Time Series Clustering via Community Detection in Networks
Leonardo N. Ferreira, Liang Zhao
In this paper, we propose a technique for time series clustering using community detection in complex networks. Firstly, we present a method to transform a set of time series into…