Temporal 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
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
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