activity
20132021
most citedCrime prediction through urban metrics and statistical learning

209 citations · 1.1k across the 22 of their papers we have counts for

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Showing physics.soc-phShow all

17 papers · 1 filter

physics.soc-ph2021

The rise and fall of countries in the global value chains

Luiz G. A. Alves, Giuseppe Mangioni, Francisco A. Rodrigues +2

Countries participate in global value chains by engaging in backward and forward transactions connecting multiple geographically dispersed production stages. Inspired by network th…

physics.soc-ph2021★ 29 cited

Commuting network effect on urban wealth scaling

Luiz G. A. Alves, Diego Rybski, Haroldo V. Ribeiro

Urban scaling theory explains the increasing returns to scale of urban wealth indicators by the per capita increase of human interactions within cities. This explanation implicitly…

physics.soc-ph2021★ 1 cited

Spreader events and the limitations of projected networks for capturing dynamics on multipartite networks

Hyojun A. Lee, Luiz G. A. Alves, Luís A. Nunes Amaral

Many systems of scientific interest can be conceptualized as multipartite networks. Examples include the spread of sexually transmitted infections, scientific collaborations, human…

physics.soc-ph2020★ 56 cited

Collective dynamics of stock market efficiency

Luiz G. A. Alves, Higor Y. D. Sigaki, Matjaz Perc +1

Summarized by the efficient market hypothesis, the idea that stock prices fully reflect all available information is always confronted with the behavior of real-world markets. Whil…

physics.soc-ph2019★ 75 cited

Reconstructing commuters network using machine learning and urban indicators

Gabriel Spadon, Andre C. P. L. F. de Carvalho, Jose F. Rodrigues-Jr +1

Human mobility has a significant impact on several layers of society, from infrastructural planning and economics to the spread of diseases and crime. Representing the system as a…

physics.soc-ph2019★ 24 cited

Centrality anomalies in complex networks as a result of model over-simplification

Luiz G. A. Alves, Alberto Aleta, Francisco A. Rodrigues +2

Tremendous advances have been made in our understanding of the properties and evolution of complex networks. These advances were initially driven by information-poor empirical netw…

physics.soc-ph2018★ 10 cited

The hidden traits of endemic illiteracy in cities

Luiz G. A. Alves, Jose S. Andrade, Quentin S. Hanley +1

In spite of the considerable progress towards reducing illiteracy rates, many countries, including developed ones, have encountered difficulty achieving further reduction in these…

physics.soc-ph2018★ 40 cited

Unfolding the complexity of the global value chain: Strengths and entropy in the single-layer, multiplex, and multi-layer international trade networks

Luiz G. A. Alves, Giuseppe Mangioni, Francisco A. Rodrigues +2

The worldwide trade network has been widely studied through different data sets and network representations with a view to better understanding interactions among countries and pro…

physics.soc-ph2018★ 56 cited

The nested structural organization of the worldwide trade multi-layer network

Luiz G. A. Alves, Giuseppe Mangioni, Isabella Cingolani +3

Nestedness has traditionally been used to detect assembly patterns in meta-communities and networks of interacting species. Attempts have also been made to uncover nested structure…

physics.soc-ph2018★ 95 cited

The dynamical structure of political corruption networks

Haroldo V. Ribeiro, Luiz G. A. Alves, Alvaro F. Martins +2

Corruptive behaviour in politics limits economic growth, embezzles public funds, and promotes socio-economic inequality in modern democracies. We analyse well-documented political…

physics.soc-ph2017★ 2 cited

The role of city size and urban metrics on crime modeling

Luiz G. A. Alves, Haroldo V. Ribeiro, Francisco A. Rodrigues

Unveiling the relationships between crime and socioeconomic factors is crucial for modeling and preventing these illegal activities. Recently, a significant advance has been made i…

physics.soc-ph2017★ 209 cited

Crime prediction through urban metrics and statistical learning

Luiz G A Alves, Haroldo V Ribeiro, Francisco A Rodrigues

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 t…

physics.soc-ph2015★ 66 cited

Scale-adjusted metrics for predicting the evolution of urban indicators and quantifying the performance of cities

Luiz G. A. Alves, Renio S. Mendes, Ervin K. Lenzi +1

More than a half of world population is now living in cities and this number is expected to be two-thirds by 2050. Fostered by the relevancy of a scientific characterization of cit…

physics.soc-ph2015★ 29 cited

Spatial correlations, clustering and percolation-like transitions in homicide crimes

L. G. A. Alves, E. K. Lenzi, R. S. Mendes +1

The spatial dynamics of criminal activities has been recently studied through statistical physics methods; however, models and results have been focused on local scales (city level…

physics.soc-ph2014★ 35 cited

Empirical analysis on the connection between power-law distributions and allometries for urban indicators

Luiz G. A. Alves, Haroldo V. Ribeiro, Ervin K. Lenzi +1

We report on the existing connection between power-law distributions and allometries. As it was first reported in [PLoS ONE 7, e40393 (2012)] for the relationship between homicides…

physics.soc-ph2013★ 156 cited

Distance to the scaling law: a useful approach for unveiling relationships between crime and urban metrics

Luiz G. A. Alves, Haroldo V. Ribeiro, Ervin K. Lenzi +1

We report on a quantitative analysis of relationships between the number of homicides, population size and other ten urban metrics. By using data from Brazilian cities, we show tha…

physics.soc-ph2013★ 63 cited

Scaling laws in the dynamics of crime growth rate

Luiz Gustavo de Andrade Alves, Haroldo Valentin Ribeiro, Renio dos Santos Mendes

The increasing number of crimes in areas with large concentrations of people have made cities one of the main sources of violence. Understanding characteristics of how crime rate e…