Reconstructing supply networks

Fuente: arXiv
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Autori principali: Mungo, Luca, Brintrup, Alexandra, Garlaschelli, Diego, Lafond, François
Natura: Preprint
Pubblicazione: 2023
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author Mungo, Luca
Brintrup, Alexandra
Garlaschelli, Diego
Lafond, François
author_facet Mungo, Luca
Brintrup, Alexandra
Garlaschelli, Diego
Lafond, François
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2310_00446
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Reconstructing supply networks
Mungo, Luca
Brintrup, Alexandra
Garlaschelli, Diego
Lafond, François
General Economics
Economics
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.
title Reconstructing supply networks
topic General Economics
Economics
url https://arxiv.org/abs/2310.00446