Reconstructing supply networks
arXiv:2310.00446 · doi:10.1088/2632-072X/ad30bf
Abstract
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 customer-supplier relationships. We review the literature that has flourished to infer the topology of these networks by partial, aggregate, or indirect observation of the data. We discuss why this is an important endeavour, what needs to be reconstructed, what makes it different from other network reconstruction problems, and how different researchers have approached the problem. We conclude with a research agenda.
References in corpus (11)
- Distributed Representations of Sentences and Documents
- The Physics of Financial Networks
- Synthetic Data -- what, why and how?
- Reconstructing firm-level interactions: the Dutch input-output network
- Ranking influential nodes in networks from partial information
- Relations between allometric scalings and fluctuations in complex systems: The case of Japanese firms
- Reconstructing firm-level input-output networks from partial information
- Discovering Supply Chain Links with Augmented Intelligence
- Revealing production networks from firm growth dynamics
- Estimating systemic importance with missing data in input-output graphs
- Supply Chain Due Diligence Risk Assessment for the EU: A Network Approach to estimate expected effectiveness of the planned EU directive