# igraph enables fast and robust network analysis across programming languages

arXiv: https://arxiv.org/abs/2311.10260 · HTML: https://mlsanity.com/paper/2311.10260/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 17 Nov 2023.

## Built on by (most cited first, 4 of 4)

- [Mapping how LLMs debate societal issues when shadowing human personality traits, sociodemographics and social media behavior](https://mlsanity.com/paper/2604.27624/) (2026)
- [Examining the Relationship between Scientific Publishing Activity and Hype-Driven Financial Bubbles: A Comparison of the Dot-Com and AI Eras](https://mlsanity.com/paper/2509.11982/) (2025)
- [Large Scale Community-Aware Network Generation](https://mlsanity.com/paper/2511.19717/) (2025)
- [Knowledge Graph Extraction from Biomedical Literature for Alkaptonuria Rare Disease](https://mlsanity.com/paper/2603.15711/) (2026)

## Abstract (arXiv)

Networks or graphs are widely used across the sciences to represent relationships of many kinds. igraph (https://igraph.org) is a general-purpose software library for 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. Over the last two decades, igraph has expanded substantially. It now scales to billions of edges, supports Mathematica and interactive plotting, integrates with Jupyter notebooks and other network libraries, includes new graph layouts and community detection algorithms, and has streamlined the documentation with examples and Spanish 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.