Evidence map›Paper›PMID 42550872›Full record

ArticlePloS one2026

igraph 1.0 enables fast and robust network analysis across programming languages.

Michael Antonov, Gábor Csárdi, Szabolcs Horvát, Kirill Müller, Tamás Nepusz, Daniel Noom, Maëlle Salmon, Vincent Traag, Brooke Foucault Welles, Fabio Zanini

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 137 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
137citing papers in PubMed, 1 pooled it
–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

137 citing papers in PubMed, 1 synthesis or guideline pooled it.

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77 more citing papers are in PubMed but not listed here.

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

10 authors.

Michael Antonovcynkra GmbH., Zürich, Switzerland.
Gábor CsárdiPosit Software, PBC, Boston, Massachusetts, United States of America.ORCID https://orcid.org/0000-0001-7098-9676
Szabolcs HorvátReykjavik University, Reykjavík, Iceland.
Kirill Müllercynkra GmbH., Zürich, Switzerland.ORCID https://orcid.org/0000-0002-1416-3412
Tamás NepuszSixdegrees Ltd, Budapest, Hungary.
Daniel Noomjitjit, Amsterdam, Netherlands.
Maëlle Salmoncynkra GmbH., Zürich, Switzerland.
Vincent TraagCentre for Science and Technology Studies, Leiden University, Leiden, Zuid-Holland, Netherlands.
Brooke Foucault WellesNortheastern University, Boston, Massachusett, United States of America.
Fabio ZaniniSchool of Clinical Medicine, UNSW Sydney, Sydney, NSW, Australia.ORCID https://orcid.org/0000-0001-7097-8539

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Networks or graphs are widely used across the sciences to represent relationships of many kinds. The igraph (https://igraph.org) software library supports graph construction, analysis, and visualisation, combining fast and robust performance with a low entry barrier. igraph pairs a fast core written in C with beginner-friendly interfaces in Python, R, and Mathematica. After twenty years of development, igraph 1.0 has been released, enabling public access to a robust and stable network analysis with over a million monthly downloads. Thanks to its cross-language design, igraph delivers both speed and flexibility: it can handle billions of edges, supports interactive plotting, integrates with notebooks, facilitates conversions to and from other network libraries, includes a rich library of graph layout and community detection algorithms, and has a detailed documentation including non-English translations. Modern testing features such as continuous integration, address sanitizers, stricter typing, and memory-managed vectors have also increased robustness. Hundreds of bug reports have been fixed and a community forum has been opened to connect users and developers. Specific effort has been made to broaden use and community participation by women, non-binary people, and other demographic groups typically underrepresented in open source software.

Indexed as

Programming LanguagesSoftwareAlgorithmsComputer GraphicsHumans

Identifiers

PMID42550872
PMCPMC13436765

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.