400 citations · 1.4k across the 15 of their papers we have counts for
19 papers
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…
What does Network Analysis teach us about International Environmental Cooperation?
Stefano Carattini, Sam Fankhauser, Jianjian Gao +2
Over the past 70 years, the number of international environmental agreements (IEAs) has increased substantially, highlighting their prominent role in environmental governance. This…
A network approach to expertise retrieval based on path similarity and credit allocation
Xiancheng Li, Luca Verginer, Massimo Riccaboni +1
With the increasing availability of online scholarly databases, publication records can be easily extracted and analysed. Researchers can promptly keep abreast of others' scientifi…
Early warnings of COVID-19 outbreaks across Europe from social media?
Milena Lopreite, Pietro Panzarasa, Michelangelo Puliga +1
We analyze data from Twitter to uncover early-warning signals of COVID-19 outbreaks in Europe in the winter season 2019-2020, before the first public announcements of local sources…
Geometric graphs from data to aid classification tasks with graph convolutional networks
Yifan Qian, Paul Expert, Pietro Panzarasa +1
Traditional classification tasks learn to assign samples to given classes based solely on sample features. This paradigm is evolving to include other sources of information, such a…
Quantifying the Alignment of Graph and Features in Deep Learning
Yifan Qian, Paul Expert, Tom Rieu +2
We show that the classification performance of graph convolutional networks (GCNs) is related to the alignment between features, graph, and ground truth, which we quantify using a…