17 citations · 39 across the 4 of their papers we have counts for
7 papers
Detecting climate teleconnections with Granger causality
Filipi N Silva, Didier A. Vega-Oliveros, Xiaoran Yan +5
Climate system teleconnections are crucial for improving climate predictability, but difficult to quantify. Standard approaches to identify teleconnections are often based on corre…
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…
Measuring the engagement level in encrypted group conversations by using temporal networks
Moshe Cotacallapa, Lilian Berton, Leonardo N. Ferreira +4
Chat groups are well-known for their capacity to promote viral political and marketing campaigns, spread fake news, and create rallies by hundreds of thousands on the streets. Also…
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…
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…