Skip to content
DraconiticResearch
Search Sources API
203,203 studies31 sourcesUpdated 48 min ago
PreprintarXiv licencearXiv

Italian Business-to-Business Invoicing Data: A Network Analysis

  • Valerio Astuti
  • Daniele Piras
Open at sourcePDFDOICite

Abstract

We present a comprehensive description of the network of Italian Business-to-Business commercial relationships, based on the universe of electronic invoices collected by the Italian Tax Office. The firm-to-firm detail of the data is exploited to describe the distribution of the numbers of buyers (customers) and sellers (suppliers) per firm, the centrality of each firm in the production network, and the average distance between firms. We characterize for the first time the firm-to-firm network describing the Italian production system, and present its geographic and sectoral breakdown. The analysis reveals heavy tailed distributions for the numbers of buyers and sellers per firm, implying a scale-free structure of the network. The distributions of centrality values display heavy tails as well, indicating a strong concentration of importance in a relatively small number of firms. We estimate the tail exponents for all these distributions, finding in all cases lower exponents for downstream (buyer-side) distributions than for the upstream (seller-side) ones.

Versions

Related

  1. Beyond Direct Retweets: Multi-Step Pathways in Italian COVID-19 Twitter
    Edoardo Maggioni, Ren Manfredi, Fabio Saracco +1
    arXivPreprintarXiv licenceFull textStatistical & nonlinear physicsarXiv
  2. Detecting Historical Turning Points in Italian Media: A Complex Systems Approach to a Diachronic News Corpus
    Dario Zarcone, Salvatore Miccichè, David Sanchez
    arXivPreprintCC BY 4.0Full textStatistical & nonlinear physicsarXiv
  3. A Connected History-Record Network Toy Model for the Single-History Record Framework
    Tong Wang
    HALPreprintCC BY 4.0Full textQuantum physics & quantum informationHAL
  4. Approximating Local Properties by Tensor Network States With Constant Bond Dimension
    Yichen Huang
    IEEE Transactions on Information TheoryPeer-reviewedLicence not statedFull text17 citedAtomic, molecular & optical physicsOpenAlex
  5. Tensor network representations for intrinsically mixed-state topological orders
    Bader Aldossari, Sergey Blinov, Zhu-Xi Luo
    PRX QuantumPeer-reviewedPublisher termsQuantum physics & quantum informationCrossref

Cite

BibTeXRIS
BibTeX
@misc{astuti2026italian,
  title = {{Italian Business-to-Business Invoicing Data: A Network Analysis}},
  author = {Valerio Astuti and Daniele Piras},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.10227},
  eprint = {2609.10227},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.10227},
}
RIS
TY  - UNPB
TI  - Italian Business-to-Business Invoicing Data: A Network Analysis
AU  - Valerio Astuti
AU  - Daniele Piras
PY  - 2026
DA  - 2026/09/09
PB  - arXiv
DO  - 10.48550/arxiv.2609.10227
UR  - https://arxiv.org/abs/2609.10227
AB  - We present a comprehensive description of the network of Italian Business-to-Business commercial relationships, based on the universe of electronic invoices collected by the Italian Tax Office. The firm-to-firm detail of the data is exploited to describe the distribution of the numbers of buyers (customers) and sellers (suppliers) per firm, the centrality of each firm in the production network, and the average distance between firms. We characterize for the first time the firm-to-firm network describing the Italian production system, and present its geographic and sectoral breakdown. The analysis reveals heavy tailed distributions for the numbers of buyers and sellers per firm, implying a scale-free structure of the network. The distributions of centrality values display heavy tails as well, indicating a strong concentration of importance in a relatively small number of firms. We estimate the tail exponents for all these distributions, finding in all cases lower exponents for downstream (buyer-side) distributions than for the upstream (seller-side) ones.
ER  -