Evidence map›Paper›PMID 23898177›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2013

On the origins of hierarchy in complex networks.

Bernat Corominas-Murtra, Joaquín Goñi, Ricard V Solé, Carlos Rodríguez-Caso

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
10.7field-weighted citation impact, top 1% 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

45 citing papers in PubMed, 162 citations in OpenAlex.

  1. Article
  2. A complex network perspective on brain disease.Biological reviews of the Cambridge Philosophical Society · 2026
    Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Internal control of brain networks via sparse feedback.AIChE journal. American Institute of Chemical Engineers · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. How directed is a directed network?Royal Society open science · 2020
    Article
  17. Fate of Duplicated Neural Structures.Entropy (Basel, Switzerland) · 2020
    Review
  18. Article
  19. Evolving complexity: how tinkering shapes cells, software and ecological networks.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    Article
  20. 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

4 authors at 3 institutions in 3 countries.

Bernat Corominas-MurtraInstitució Catalana per a la Recerca i Estudis Avancats-Complex Systems Laboratory, Universitat Pompeu Fabra, 08003 Barcelona, Spain.
Joaquín Goñi
Ricard V Solé
Carlos Rodríguez-Caso
Pompeu Fabra University · ESIndiana University Bloomington · USInstitució Catalana de Recerca i Estudis Avançats · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hierarchy seems to pervade complexity in both living and artificial systems. Despite its relevance, no general theory that captures all features of hierarchy and its origins has been proposed yet. Here we present a formal approach resulting from the convergence of theoretical morphology and network theory that allows constructing a 3D morphospace of hierarchies and hence comparing the hierarchical organization of ecological, cellular, technological, and social networks. Embedded within large voids in the morphospace of all possible hierarchies, four major groups are identified. Two of them match the expected from random networks with similar connectivity, thus suggesting that nonadaptive factors are at work. Ecological and gene networks define the other two, indicating that their topological order is the result of functional constraints. These results are consistent with an exploration of the morphospace, using in silico evolved networks.

Indexed as

Biological EvolutionCell Physiological PhenomenaEcosystemGene Regulatory NetworksModels, TheoreticalSocial Supportevolutionmodularity

Identifiers

PMID23898177
PMCPMC3746874
OpenAlexW2141141714

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.