Data Science

The rise and fall of countries in the global value chains
Countries participate in global value chains by engaging in backward and forward transactions connecting multiple geographically …
Luiz G. A. Alves, Giuseppe Mangioni, Francisco A Rodrigues, Pietro Panzarasa, Yamir Moreno
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The rise and fall of countries in the global value chains
Commuting network effect on urban wealth scaling
Urban scaling theory explains the increasing returns to scale of urban wealth indicators by the per capita increase of human …
Luiz G. A. Alves, Diego Rybski, Haroldo V. Ribeiro
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Commuting network effect on urban wealth scaling
Topological and weighted rich-club effects in corruption networks
Objectives: We investigate cooperative and competitive behavior in corruption networks. Methods: We draw on two network data sets: …
Luiz G. A. Alves, Bruno R. Cunha, Francisco A. Rodrigues, Pietro Panzarasa
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Topological and weighted rich-club effects in corruption networks
Forecasting the evolution of transportation networks using machine learning
Transportation networks play a critical role in modern societies due to their importance in human mobility, and the exchange of goods …
Weihua Lei, Luiz G. A. Alves, Luís A. N. Amaral
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Forecasting the evolution of transportation networks using machine learning
Spreader events and the limitations of projected networks for capturing dynamics on multi-partite networks
Many systems of scientific interest can be conceptualized as multipartite networks. Examples include the spread of sexually transmitted …
Hyojun A. Lee, Luiz G. A. Alves, Luís A. N. Amaral
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Spreader events and the limitations of projected networks for capturing dynamics on multi-partite networks
Collective dynamics of stock market efficiency
Summarized by the efficient market hypothesis, the idea that stock prices fully reflect all available information is always confronted …
Luiz G. A. Alves, Higor Y. D. Sigaki, Matjaž Perc, Haroldo V. Ribeiro
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Collective dynamics of stock market efficiency
Centrality anomalies in complex networks as a result of model over-simplification
Tremendous advances have been made in our understanding of the properties and evolution of complex networks. These advances were …
Luiz G. A. Alves, Alberto Aleta, Francisco A. Rodrigues, Yamir Moreno, Luís A. N. Amaral
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Centrality anomalies in complex networks as a result of model over-simplification
Reconstructing commuters network using machine learning and urban indicators
Human mobility has a significant impact on several layers of society, from infrastructural planning and economics to the spread of …
Gabriel Spadon, André C. P. L. F. de Carvalho, José F. Rodrigues-Jr, Luiz G. A. Alves
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Reconstructing commuters network using machine learning and urban indicators
The nested structural organization of the worldwide trade multi-layer network
Nestedness has traditionally been used to detect assembly patterns in meta-communities and networks of interacting species. Attempts …
Luiz G. A. Alves, Giuseppe Mangioni, Isabella Cingolani, Francisco A Rodrigues, Pietro Panzarasa, Yamir Moreno
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The nested structural organization of the worldwide trade multi-layer network
The hidden traits of endemic illiteracy in cities
In spite of the considerable progress towards reducing illiteracy rates, many countries, including developed ones, have encountered …
Luiz G. A. Alves, José S. Andrade Jr, Quentin S. Hanley, Haroldo V. Ribeiro
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The hidden traits of endemic illiteracy in cities