Evidence map›Paper›PMID 42063671›Full record

ArticlePNAS nexus2026

Supply chain network rewiring dynamics at the firm level.

Tobias Reisch, András Borsos, Stefan Thurner

Abstract read
In one paragraph

Article in PNAS nexus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Tobias ReischComplexity Science Hub Vienna, Vienna A-1080, Austria.ORCID https://orcid.org/0000-0002-1219-2893
András BorsosComplexity Science Hub Vienna, Vienna A-1080, Austria.
Stefan ThurnerComplexity Science Hub Vienna, Vienna A-1080, Austria.ORCID https://orcid.org/0000-0003-2495-6819

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Supply chain networks (SCN) form the structural backbone of any society. They constitute the societal metabolism that literally produces everything for everybody by coordinating practically every single person on the planet. SCNs are by no means static but undergo permanent change through the entry and exit of firms and the rearrangement of supply relations. Here, we use a unique dataset to explore the temporal evolution of firms and their supplier-buyer relations of a national SCN. Monthly reported value added tax data from Hungary from 2014 to 2022 allows us to reconstruct the entire economy with 711,248 companies and 38,644,400 connections, covering practically every restructuring event of an entire economy at firm-level resolution. We find that per year about 25% of firms exit the SCN while 28% new ones enter. On average, 55% of all supply-links present in 1 year will not be present in the next. We report the half-life time of supply-links to be 13 months. New links attach super-preferentially to firms with a probability,

Indexed as

generative modelnetwork evolutionsupply chain networkssystemic risktemporal networks

Identifiers

PMID42063671
PMCPMC13126663

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.