The paper analyses the changes that occurred over 25 years in the geography of trade in automotive parts and components. Using the Infomap multilayer clustering algorithm, we …
Countries become global leaders by controlling international and domestic transactions connecting geographically dispersed production stages. We model global trade as a multi-layer …
Networks are a powerful tool to model complex systems, and the definition of many Graph Neural Networks (GNN), Deep Learning algorithms that can handle networks, has opened a new …
The generalized version of modularity for multilayer networks, a.k.a. multislice modularity, is characterized by two model parameters, namely resolution factor and inter-layer …
A variety of complex systems exhibits different types of relationships simultaneously that can be modeled by multiplex networks. A typical problem is to determine the community …
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 …
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 …
Achieving international food security requires improved understanding of how international trade networks connect countries around the world through the import-export flows of food …
We study the community structure of the multi-network of commodity-specific trade relations among world countries over the 19922003 period. We compare structures across commodities …