Evidence map›Paper›PMID 42732203›Full record

ArticleTransportation research interdisciplinary perspectives2026

Functional connectivity networks for transportation delay analysis: From theory to software.

Carlson Moses Büth, Massimiliano Zanin

Abstract read
In one paragraph

Article in Transportation research interdisciplinary perspectives, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Carlson Moses BüthInstitute for Cross-Disciplinary Physics and Complex Systems (IFISC), CSIC-UIB, 07122, Palma de Mallorca, Spain.
Massimiliano ZaninInstitute for Cross-Disciplinary Physics and Complex Systems (IFISC), CSIC-UIB, Edifici Complex de Recerca de les Illes Balears, Parc Bit, Palma de Mallorca, 07120, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Within the endeavour of modelling and understanding the propagation of delays in transportation networks, an approach that has attracted increasing interest in the last decade is the creation of functional network representations. These graphs map elements of interest (e.g. airports or stations) as nodes, and derive pairwise dependency patterns from their dynamics through correlation and causality tests. In spite of multiple notable results, this approach still lacks a coherent framework, with decisions related to many fundamental steps being left to the judgement of the researcher. We here provide an introduction to the theory behind functional networks for transportation systems, detailing the main steps and the associated pitfalls. We further introduce a Python package,

Indexed as

CausalityDelaysFunctional networksTransportation networks

Identifiers

PMID42732203
PMCPMC13569785

What OpenQuestion holds

Textmetadata
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.