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Fast unfolding of communities in large networks

Vincent D. Blondel; Jean‐Loup Guillaume; Renaud Lambiotte; Etienne Lefebvre · Journal of Statistical Mechanics Theory and Experiment · 2008

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We propose a simple method to extract the community structure of large networks. Our method is a heuristic method that is based on modularity optimization. It is shown to outperform all other known community detection methods in terms of computation time. Moreover, the quality of the communities detected is very good, as measured by the so-called modularity. This is shown first by identifying language communities in a Belgian mobile phone network of 2 million customers and by analysing a web graph of 118 million nodes and more than one billion links. The accuracy of our algorithm is also verified on ad hoc modular networks.

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APA 7

Blondel, V. D, Guillaume, J, Lambiotte, R, & Lefebvre, E. (2008). Fast unfolding of communities in large networks. https://doi.org/10.1088/1742-5468/2008/10/p10008

MLA

Blondel, Vincent D, et al. "Fast unfolding of communities in large networks." 2008. https://doi.org/10.1088/1742-5468/2008/10/p10008.

Chicago

Blondel, Vincent D, Jean‐Loup Guillaume, Renaud Lambiotte, and Etienne Lefebvre. 2008. "Fast unfolding of communities in large networks.". https://doi.org/10.1088/1742-5468/2008/10/p10008.

Harvard

Blondel, V. D. et al. 2008, Fast unfolding of communities in large networks, Journal of Statistical Mechanics Theory and Experiment, available at: https://doi.org/10.1088/1742-5468/2008/10/p10008 [Accessed 5 Aug. 2026].

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Title
Fast unfolding of communities in large networks
Author / contributors
Vincent D. Blondel; Jean‐Loup Guillaume; Renaud Lambiotte; Etienne Lefebvre
Publisher
Journal of Statistical Mechanics Theory and Experiment
Publication year
2008
Language
English

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