Data science and big data analytics (DS &BDA) methodologies and tools are used
extensively in supply chains and logistics (SC &L). However, the existing insights are …

The global economy consists of more than 300 million firms, connected through an
estimated 13 billion supply links [see supplementary materials (SM)], that produce most …

The vulnerability of supply chains and their role in the propagation of shocks has been
highlighted multiple times in recent years, including by the recent pandemic. However, while …

Are standard production network properties similar across all available datasets, and if not,
why? We provide benchmark results from two administrative datasets (Ecuador and …

To estimate the reaction of economies to political interventions or external disturbances,
input–output (IO) tables—constructed by aggregating data into industrial sectors—are …

Economic agent-based models (ABMs) are becoming more and more data-driven,
establishing themselves as increasingly valuable tools for economic research and …

Modern supply chains are complex and interlinked, resulting in increased network risk
exposure for companies. Digital Supply Chain Surveillance (DSCS) has emerged as a …

Triadic motifs are the smallest building blocks of higher-order interactions in complex
networks and can be detected as over-occurrences with respect to null models with only pair …

Recent research has tried to extend the concept of renormalization, which is naturally
defined for geometric objects, to more general networks with arbitrary topology. The current …

Network reconstruction is a well-developed sub-field of network science, but it has only
recently been applied to production networks, where nodes are firms and edges represent …