activity
20142023
most citedFrom human mobility to renewable energies: Big data analysis to approach worldwide multiscale phenomena

9 citations · 21 across the 9 of their papers we have counts for

collaborators

10 papers

nlin.CG2024

A Sensitivity Analysis of Cellular Automata and Heterogeneous Topology Networks: Partially-Local Cellular Automata and Homogeneous Homogeneous Random Boolean Networks

Tom Eivind Glover, Ruben Jahren, Francesco Martinuzzi +2

Elementary Cellular Automata (ECA) are a well-studied computational universe that is, despite its simple configurations, capable of impressive computational variety. Harvesting thi…

cs.SI2023

Harmful Conspiracies in Temporal Interaction Networks: Understanding the Dynamics of Digital Wildfires through Phase Transitions

Kaspara Skovli Gåsvær, Pedro G. Lind, Johannes Langguth +3

Shortly after the first COVID-19 cases became apparent in December 2020, rumors spread on social media suggesting a connection between the virus and the 5G radiation emanating from…

cs.LG20232 cited

A Time-aware tensor decomposition for tracking evolving patterns

Christos Chatzis, Max Pfeffer, Pedro Lind +1

Time-evolving data sets can often be arranged as a higher-order tensor with one of the modes being the time mode. While tensor factorizations have been successfully used to capture…

nlin.CG20226 cited

Assessing the robustness of critical behavior in stochastic cellular automata

Sidney Pontes-Filho, Pedro Lind, Stefano Nichele

There is evidence that biological systems, such as the brain, work at a critical regime robust to noise, and are therefore able to remain in it under perturbations. In this work, w…

q-fin.ST2021

Change of persistence in European electricity spot prices

Leonardo Rydin Gorjão, Dirk Witthaut, Pedro G. Lind +1

The European Power Exchange has introduced day-ahead auctions and continuous trading spot markets to facilitate the insertion of renewable electricity. These markets are designed t…

physics.ao-ph20142 cited

Daily pollution forecast using optimal meteorological data at synoptic and local scales

Ana Russo, Pedro G. Lind, Frank Raischel +2

We present a simple framework to easily pre-select the most essential data for accurately forecasting the concentration of the pollutant PM, based on pollutants observations…