Search Results for "igraph"
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Showing 10 open source projects for "igraph"
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ggraph
Grammar of Graph Graphics
ggraph adapts the Grammar of Graphics from ggplot2 for network and graph visualizations. It integrates with tidygraph/igraph data structures, providing a wide range of geoms, layouts (e.g. hive plots, circle packing), and layering methods tailored to hierarchical or relational data. -
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EpiMINE
program for mining epigenomic data
...Dependencies: python >= 2.7 version python packages: rpy2(v2.8.1), pysam(>0.8.4), pybedtools(v0.7.7) and wxpython (only for GUI form) R with following packages: gplots, ggplot2, RColorBrewer, FactoMineR, kernlab, bnlearn, igraph, fastcluster, caret and ROCR bedtools (2.16/2.17/2.25) Manual & different forms of EpiMINE can be downloaded is available under "Browse Files" section For any help, you can reach us at epimine.help@gmail.com -
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Community Detection Modularity Suite
Suite of community detection algorithms based on Modularity
...Ball et al, An efficient and principled method for detecting communities in networks, 2011. The suite is based upon the fast community algorithm implemented by Aaron Clauset <aaron@cs.unm.edu>, Chris Moore, Mark Newman, and the R IGraph library Copyright (C) 2007 Gabor Csardi <csardi@rmki.kfki.hu>. It also makes of the classes available from Numerical Recipies 3rd Edition W. Press, S. Teukolsky, W. Vetterling, B. Flanne -
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program.MODULAR
MODULAR: Autonomous Computation of Modularity
...In order to find the network partition that maximizes modularity, the software offers five optimization methods to the user: simulated annealing, fast greedy, spectral partitioning, a hybrid of fast greedy and simulated annealing, and a hybrid of spectral partitioning and simulated annealing. The software is implemented in C language and it uses the igraph library for complex network research. -
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iGraph Framework contains the state of the art graph indexing techniques. This is implemented by using C++. You may use the Microsoft Visual C++ for importing the project and view the source code. iGraph Demo is the visualization tool for demonstrating the data loading/query processing of these indexing techniques.
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gmlRandomiser
A C++ tool to randomise GML format files.
Example usage, clusterRandomizer.exe -i TestData.bio.csv.gml -n 10 -m 9 -r 1001 Options: -i <FileName> (gml format (igraph), not yEd gml). -n no_of_nodes. -e no_of_edges. -r no_of_randomizations (dafault 1000). -c category to consider, parsed by a dot(.) (dafault 0, i.e., the node label itself). -d consider duel category. -s Show unique categories. -t category to concat (default none), for concatenating all put -1. -f reads automatically edge and node information from "<filename>.count.txt" file. ... -
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This project provides R functions to convert a "spatial" object of a road network to a "graph-class" or "igraph-class" object, which makes "igraph", "graph" and "RBGL" available for analysing it.
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S-BITE
S-BITE is an AS level topology generator for the Internet
...Thanks to this layering, S-BITE is able to accurately reproduce Internet topology at the statistical level,matching classical graph metrics, and represent its structure. S-BITE is mostly implemented in C and depends on the igraph library available at http://igraph.sourceforge.net In order to speed up the execution of the different components, the package uses shell scripts. -
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The igraph library
Library for creating and manipulating graphs
This is a library for creating and manipulating graphs with focus on speedy operations for large, sparse graphs. -
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Python UNAP to convert between multiple graph formats. Also has extended graph tools for networkx and igraph modules.
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