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Haroldo V. Ribeiro
Universidade Estadual de Maringá
77Publications
17H-index
787Citations
Publications 78
Newest
#2Renio S. Mendes (UEM: Universidade Estadual de Maringá)H-Index: 26
Last.Haroldo V. Ribeiro (UEM: Universidade Estadual de Maringá)H-Index: 17
view all 4 authors...
Abstract Researchers of several areas have reported that there are still significant gender differences in their performances within different social systems, as in science and on-line communities, for example. This paper focuses on the gender difference in politic candidature processes, investigating the effect of the electorate size upon the candidate numbers, by considering the electorate of each Brazilian city and the respective number of candidates for Mayor and City Council Member (for wom...
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#1Higor Y. D. Sigaki (UEM: Universidade Estadual de Maringá)H-Index: 2
#2Matjaz Perc (University of Maribor)H-Index: 80
Last.Haroldo V. Ribeiro (UEM: Universidade Estadual de Maringá)H-Index: 17
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The efficient market hypothesis has far-reaching implications for financial trading and market stability. Whether or not cryptocurrencies are informationally efficient has therefore been the subject of intense recent investigation. Here, we use permutation entropy and statistical complexity over sliding time-windows of price log returns to quantify the dynamic efficiency of more than four hundred cryptocurrencies. We consider that a cryptocurrency is efficient within a time-window when these two...
3 CitationsSource
#1Haroldo V. Ribeiro (UEM: Universidade Estadual de Maringá)H-Index: 17
#2Diego Rybski (PIK: Potsdam Institute for Climate Impact Research)H-Index: 23
Last.Jürgen P. Kropp (PIK: Potsdam Institute for Climate Impact Research)H-Index: 23
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The question of whether urbanization contributes to increasing carbon dioxide emissions has been mainly investigated via scaling relationships with population or population density. However, these approaches overlook the correlations between population and area, and ignore possible interactions between these quantities. Here, we propose a generalized framework that simultaneously considers the effects of population and area along with possible interactions between these urban metrics. Our result...
3 CitationsSource
#1Ervin K. Lenzi (NIST: National Institute of Standards and Technology)H-Index: 24
#2Marcelo Kaminski Lenzi (UFPR: Federal University of Paraná)H-Index: 16
Last.L.R. Evangelista (UEM: Universidade Estadual de Maringá)H-Index: 1
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We investigate a connection between random walks and nonlinear diffusion equations within the framework proposed by Einstein to explain the Brownian motion. We show here how to properly modify that...
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Approaches for mapping time series to networks have become essential tools for dealing with the increasing challenges of characterizing data from complex systems. Among the different algorithms, the recently proposed ordinal networks stand out due to its simplicity and computational efficiency. However, applications of ordinal networks have been mainly focused on time series arising from nonlinear dynamical systems, while basic properties of ordinal networks related to simple stochastic processe...
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#1Luiz G. A. Alves (USP: University of São Paulo)H-Index: 10
#2José S. Andrade (UFC: Federal University of Ceará)H-Index: 8
Last.Haroldo V. Ribeiro (UEM: Universidade Estadual de Maringá)H-Index: 17
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In spite of the considerable progress towards reducing illiteracy rates, many countries, including developed ones, have encountered difficulty achieving further reduction in these rates. This is worrying because illiteracy has been related to numerous health, social, and economic problems. Here, we show that the spatial patterns of illiteracy in urban systems have several features analogous to the spread of diseases such as dengue and obesity. Our results reveal that illiteracy rates are spatial...
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#1Higor Y. D. SigakiH-Index: 2
#2R. F. de SouzaH-Index: 2
Last.Haroldo V. RibeiroH-Index: 17
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Imaging techniques are essential tools for inquiring a number of properties from different materials. Liquid crystals are often investigated via optical and image processing methods. In spite of that, considerably less attention has been paid to the problem of extracting physical properties of liquid crystals directly from textures images of these materials. Here we present an approach that combines two physics-inspired image quantifiers (permutation entropy and statistical complexity) with mach...
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#1Haroldo V. Ribeiro (UEM: Universidade Estadual de Maringá)H-Index: 17
#2Luiz G. A. Alves (USP: University of São Paulo)H-Index: 10
Last.Matjaz Perc (University of Maribor)H-Index: 80
view all 5 authors...
Corruptive behaviour in politics limits economic growth, embezzles public funds, and promotes socio-economic inequality in modern democracies. We analyse well-documented political corruption scandals in Brazil over the past 27 years, focusing on the dynamical structure of networks where two individuals are connected if they were involved in the same scandal. Our research reveals that corruption runs in small groups that rarely comprise more than eight people, in networks that have hubs and a mod...
17 CitationsSource
#1Higor Y. D. Sigaki (UEM: Universidade Estadual de Maringá)H-Index: 2
#2Matjaz Perc (University of Maribor)H-Index: 80
Last.Haroldo V. Ribeiro (UEM: Universidade Estadual de Maringá)H-Index: 17
view all 3 authors...
Art is the ultimate expression of human creativity that is deeply influenced by the philosophy and culture of the corresponding historical epoch. The quantitative analysis of art is therefore essential for better understanding human cultural evolution. Here, we present a large-scale quantitative analysis of almost 140,000 paintings, spanning nearly a millennium of art history. Based on the local spatial patterns in the images of these paintings, we estimate the permutation entropy and the statis...
12 CitationsSource
#1Luiz G. A. Alves (USP: University of São Paulo)H-Index: 10
#2Haroldo V. Ribeiro (UEM: Universidade Estadual de Maringá)H-Index: 17
Last.Francisco A. Rodrigues (USP: University of São Paulo)H-Index: 20
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Abstract Understanding the causes of crime is a longstanding issue in researcher’s agenda. While it is a hard task to extract causality from data, several linear models have been proposed to predict crime through the existing correlations between crime and urban metrics. However, because of non-Gaussian distributions and multicollinearity in urban indicators, it is common to find controversial conclusions about the influence of some urban indicators on crime. Machine learning ensemble-based algo...
11 CitationsSource
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