Gephi Marketplace » Clusters https://marketplace.gephi.org The Official Source for Gephi Plugins and Services (BETA) Fri, 17 Feb 2017 10:04:11 +0000 en-US hourly 1 http://wordpress.org/?v=3.5.2 Label Propagation Clustering https://marketplace.gephi.org/plugin/label-propagation-clustering/ https://marketplace.gephi.org/plugin/label-propagation-clustering/#comments Wed, 18 Jun 2014 20:39:37 +0000 oualid https://marketplace.gephi.org/?post_type=gephiplugin&p=19822 A gephi plugin that provides an implementation for several Label Propagation-based algorithms (LPA) for community detection in graphs. The plugin supports animated propagation of cluster labels for educational purpose. In addition, the current implementation supports weighted edges and provides implementations for three LPA variants including the basic one. The 3 variants currently implemented are : [...]

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A gephi plugin that provides an implementation for several Label Propagation-based algorithms (LPA) for community detection in graphs.
The plugin supports animated propagation of cluster labels for educational purpose. In addition, the current implementation supports weighted edges and provides implementations for three LPA variants including the basic one. The 3 variants currently implemented are : basic LPA (1), randomized LPA (LPAr) (2) and modularity maximization LPA (LPAm) (2). Each variant is described by a specific propagation rule that guides the search for the best partition of the network.
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1. Raghavan, U. N., Albert, R., & Kumara, S. (2007). Near linear time algorithm to detect community structures in large-scale networks. Physical Review E, 76(3), 036106.

2. Barber, Michael J., and John W. Clark. Detecting network communities by propagating labels under constraints. Physical Review E 80.2 (2009): 026129.

Change log:
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Version 2 : – Added support for two more LPA algorithms.
– Added support for weighted graphs.
– Fixed minor issues in the original implementation.

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Girvan Newman Clustering https://marketplace.gephi.org/plugin/girvan-newman-clustering/ https://marketplace.gephi.org/plugin/girvan-newman-clustering/#comments Fri, 30 May 2014 08:47:25 +0000 jaroslav.kuchar https://marketplace.gephi.org/?post_type=gephiplugin&p=8168 The Girvan Newman Clustering plugin for Gephi. This plugin finds clusters in graph, which can be used in Social Network Analysis. The Girvan–Newman algorithm detects communities by progressively removing edges from the original network. The connected components of the remaining network are the comunnities. Instead of trying to construct a measure that tells us which [...]

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The Girvan Newman Clustering plugin for Gephi. This plugin finds clusters in graph, which can be used in Social Network Analysis.

The Girvan–Newman algorithm detects communities by progressively removing edges from the original network. The connected components of the remaining network are the comunnities. Instead of trying to construct a measure that tells us which edges are the most central to communities, the Girvan–Newman algorithm focuses on edges that are most likely “between” communities.

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Markov Cluster Algorithm (MCL) https://marketplace.gephi.org/plugin/markov-cluster-algorithm-mcl/ https://marketplace.gephi.org/plugin/markov-cluster-algorithm-mcl/#comments Fri, 30 May 2014 08:47:13 +0000 jaroslav.kuchar https://marketplace.gephi.org/?post_type=gephiplugin&p=8180 The Markov Clustering plugin for Gephi. This plugin finds clusters in graph, which can be used in Social Network Analysis. Clustering on Graphs: The Markov Cluster Algorithm (MCL) MCL details are freely available at http://www.micans.org/mcl/

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The Markov Clustering plugin for Gephi. This plugin finds clusters in graph, which can be used in Social Network Analysis.

Clustering on Graphs: The Markov Cluster Algorithm (MCL)

MCL details are freely available at http://www.micans.org/mcl/

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Molecular Complex Detection (MCODE) Clustering https://marketplace.gephi.org/plugin/molecular-complex-detection-mcode-clustering/ https://marketplace.gephi.org/plugin/molecular-complex-detection-mcode-clustering/#comments Wed, 07 May 2014 08:18:26 +0000 jaroslav.kuchar https://marketplace.gephi.org/?post_type=gephiplugin&p=8193 The Molecular Complex Detection clustering plugin for Gephi. This plugin finds clusters in graph, which can be used in Social Network Analysis. Clustering on Graphs: details are available at http://www.biomedcentral.com/1471-2105/4/2

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The Molecular Complex Detection clustering plugin for Gephi. This plugin finds clusters in graph, which can be used in Social Network Analysis.

Clustering on Graphs:

details are available at http://www.biomedcentral.com/1471-2105/4/2

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GC-Viz https://marketplace.gephi.org/plugin/gc-viz/ https://marketplace.gephi.org/plugin/gc-viz/#comments Fri, 01 Nov 2013 15:48:59 +0000 bboden https://marketplace.gephi.org/?post_type=gephiplugin&p=5939 The GC-Viz plugin contains the algorithms GAMer and DB-CSC for the clustering of graphs with node attributes. It also contains a layout for visualizing and comparing the clustering results. The plugin has been developed by Brigitte Boden, Roman Haag and Houran Ketabdar. The plugin is described in the following paper: Brigitte Boden, Roman Haag, and [...]

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The GC-Viz plugin contains the algorithms GAMer and DB-CSC for the clustering of graphs with node attributes. It also contains a layout for visualizing and comparing the clustering results.

The plugin has been developed by Brigitte Boden, Roman Haag and Houran Ketabdar.

The plugin is described in the following paper: Brigitte Boden, Roman Haag, and Thomas Seidl. Detecting and exploring clusters in attributed graphs. In 22st ACM International Conference on Information and Knowledge Management, CIKM13, 2013.

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Chinese Whispers Clustering https://marketplace.gephi.org/plugin/chinese-whispers-clustering/ https://marketplace.gephi.org/plugin/chinese-whispers-clustering/#comments Sun, 09 Dec 2012 15:11:44 +0000 efi https://marketplace.gephi.org/?post_type=gephiplugin&p=3659 Chinese Whispers Clustering according to the paper by Chris Biemann. The algorithm is time-linear (w.r.t. the number of edges), non-deterministic and extremely fast! The current implementation represents a simple variant (no random class mutations yet), works single-threaded and allows for a randomized (rgb-space) coloring of the resulting clusters giving a fast visual feedback. For questions [...]

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Chinese Whispers Clustering according to the paper by Chris Biemann. The algorithm is time-linear (w.r.t. the number of edges), non-deterministic and extremely fast!

The current implementation represents a simple variant (no random class mutations yet), works single-threaded and allows for a randomized (rgb-space) coloring of the resulting clusters giving a fast visual feedback. For questions and ideas please contact the plugin author Thomas Efer.

Changelog:

  • 2015-06-21, v. 0.8: Novel cluster naming for greater workflow consistency (contributions from Jörg Bliesener)
  • 2014-07-23, v. 0.7: Added options for the handling of unconnected nodes
  • 2014-02-16, v. 0.6: Added option to cluster only visible graph parts (contributions from Jörg Bliesener)
  • 2014-02-08, v. 0.5: Fixed freezing bug, Renewed settings UI (contributions from Jörg Bliesener)
  • 2012-08-21, v. 0.3: Stabilized color assignment, Added options for randomized node ordering, stepwise vs. continuous mode and minimum edge weight
  • 2012-08-16, v. 0.2: Added options to control class propagation calculations (Modes: top / dist / dist-log / vote)
  • 2012-05-09, v. 0 .1: Initial release

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