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

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Τίτλος: igraph 1.0 enables fast and robust network analysis across programming languages.
Συγγραφείς: Antonov, Michael1 (AUTHOR), Csárdi, Gábor2 (AUTHOR), Horvát, Szabolcs3,4 (AUTHOR) szabolcsh@ru.is, Müller, Kirill1 (AUTHOR), Nepusz, Tamás5 (AUTHOR), Noom, Daniel6 (AUTHOR), Salmon, Maëlle1 (AUTHOR), Traag, Vincent7 (AUTHOR), Welles, Brooke Foucault8 (AUTHOR), Zanini, Fabio9,10 (AUTHOR) fabio.zanini@unsw.edu.au
Πηγή: PLoS ONE. 8/4/2026, Vol. 21 Issue 8, p1-11. 11p.
Θεματικοί όροι: *Software libraries (Computer programming), *Programming languages, *Communication network analysis, *Data visualization, *Open source software, *Graph theory
Περίληψη: 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. [ABSTRACT FROM AUTHOR]
Βάση Δεδομένων: Academic Search Index
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  Data: igraph 1.0 enables fast and robust network analysis across programming languages.
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  Data: 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. [ABSTRACT FROM AUTHOR]
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