Evidence map›Paper›PMID 33047061›Full record

ArticleRoyal Society open science2020

How directed is a directed network?

R S MacKay, S Johnson, B Sansom

Open access · goldAbstract read
In one paragraph

Article in Royal Society open science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.4field-weighted citation impact, top 5% of its field
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

16 citing papers in PubMed, 62 citations in OpenAlex.

  1. Optimal dismantling of directed networks.Nature communications · 2026
    Article
  2. Article
  3. Disrupted Brain Hierarchical Organization in Alzheimer's Disease Progression.medRxiv : the preprint server for health sciences · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Ecology and evolution · 2023
    Article
  10. Article
  11. Strong connectivity in real directed networks.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  12. Article
  13. Hierarchy Depth in Directed Networks.Entropy (Basel, Switzerland) · 2022
    Article
  14. Article
  15. Article
  16. 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 at 2 institutions in 1 country.

R S MacKayMathematics Institute and Centre for Complexity Science, University of Warwick, Coventry, UK.ORCID 0000-0003-4771-3692
S JohnsonSchool of Mathematics, University of Birmingham, Birmingham, UK.ORCID 0000-0002-8648-1735
B SansomMathematics and Economics, University of Warwick, Coventry, UK.ORCID 0000-0003-1701-8453
University of Warwick · GBThe Alan Turing Institute · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The trophic levels of nodes in directed networks can reveal their functional properties. Moreover, the trophic coherence of a network, defined in terms of trophic levels, is related to properties such as cycle structure, stability and percolation. The standard definition of trophic levels, however, borrowed from ecology, suffers from drawbacks such as requiring basal nodes, which limit its applicability. Here we propose simple improved definitions of trophic levels and coherence that can be computed on any directed network. We demonstrate how the method can identify node function in examples including ecosystems, supply chain networks, gene expression and global language networks. We also explore how trophic levels and coherence relate to other topological properties, such as non-normality and cycle structure, and show that our method reveals the extent to which the edges in a directed network are aligned in a global direction.

Indexed as

directed networktrophic coherencetrophic level

Identifiers

PMID33047061
PMCPMC7540772
OpenAlexW3083912884

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.