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        "author": "Johann-Mattis List and Robert Forkel",
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        "description": "# pyclics-clustering\n\nVarious clustering algoriths packaged as plugins for CLICS.\n\n[![Build Status](https://travis-ci.org/clics/pyclics-clustering.svg?branch=master)](https://travis-ci.org/clics/pyclics-clustering)\n[![codecov](https://codecov.io/gh/clics/pyclics-clustering/branch/master/graph/badge.svg)](https://codecov.io/gh/clics/pyclics-clustering)\n[![PyPI](https://img.shields.io/pypi/v/pyclics-clustering.svg)](https://pypi.org/project/pyclics-clustering)\n\n\n## Connected Components\n\nAs implemented in the [`networkx` package](https://networkx.github.io/documentation/networkx-1.10/reference/generated/networkx.algorithms.components.connected.connected_components.html).\n\n\n## Hierarchical Link Clustering (HLC)\n\nThe algorithm is described in\n\n> Ahn YY, Bagrow JP and Lehmann S: Link communities reveal multiscale complexity in networks. *Nature* **466**, 761 (2010).\n\nThe implementation is copied from [Tam\u00e1s Nepusz](https://github.com/ntamas/hlc) with\nslight modifications to work with CLICS networks.\n\n\n## Louvain Community Detection\n\nThe algorithm is described in\n\n> Vincent D Blondel, Jean-Loup Guillaume, Renaud Lambiotte, Renaud Lefebvre: Fast unfolding of communities in large networks. *Journal of Statistical Mechanics: Theory and Experiment* **10** (2008), P10008 (12pp).\n\nWe use the implementation by [Thomas Aynaud](https://github.com/taynaud/python-louvain).\n\n\n## Label Propagation\n\nThe algorithm is described in\n\n> Cordasco, G., & Gargano, L.: Community detection via semi-synchronous label propagation algorithms. \n> In Business Applications of Social Network Analysis (BASNA), \n> 2010 IEEE International Workshop on (pp. 1-8). IEEE.\n\nAs implemented in the [`networkx` package](https://networkx.github.io/documentation/latest/reference/algorithms/generated/networkx.algorithms.community.label_propagation.label_propagation_communities.html).",
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