Complex Networks

Climate Change Could Have Negative Effect on Great Lakes Travel
We used machine learning models to predict possible changes in the structure of transportation networks due to climate change. A team in Professor Luís A. Nunes Amaral’s lab simulated the impact of losing 67 percent of direct air routes
Northwestern University
Aug 1, 2022 3 min read Media coverage
Climate Change Could Have Negative Effect on Great Lakes Travel
Forecasting the evolution of fast-changing transportation networks using machine learning
Transportation networks play a critical role in human mobility and the exchange of goods, but they are also the primary vehicles for …
Weihua Lei, Luiz G. A. Alves, Luís A. N. Amaral
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Forecasting the evolution of fast-changing transportation networks using machine learning
The rise and fall of countries in the global value chains
Countries become global leaders by controlling international and domestic transactions connecting geographically dispersed production …
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
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
Unfolding the complexity of the global value chain: Strengths and entropy in the single-layer, multiplex, and multi-layer international trade networks
The worldwide trade network has been widely studied through different data sets and network representations with a view to better …
Luiz G. A. Alves, Giuseppe Mangioni, Francisco A. Rodrigues, Pietro Panzarasa, Yamir Moreno
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Unfolding the complexity of the global value chain: Strengths and entropy in the single-layer, multiplex, and multi-layer international trade networks