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NetworKit is a toolbox for high-performance network analysis

Project description

NetworKit is a growing open-source toolkit for high-performance network analysis. Its aim is to provide tools for the analysis of large networks in the size range from thousands to billions of edges. For this purpose, it implements efficient graph algorithms, many of them parallel to utilize multicore architectures. These are meant to compute standard measures of network analysis, such as degree sequences, clustering coefficients and centrality. In this respect, NetworKit is comparable to packages such as NetworkX, albeit with a focus on parallelism and scalability. NetworKit is also a testbed for algorithm engineering and contains a few novel algorithms from recently published research, especially in the area of community detection.

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4.5

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4.4

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4.3

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4.2

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4.1.1

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4.1

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4.0.1

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4.0

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3.6

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3.5

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3.4.1

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3.4

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3.3

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Filename, size & hash SHA256 hash help File type Python version Upload date
networkit-4.5.tar.gz (1.0 MB) Copy SHA256 hash SHA256 Source None Dec 15, 2017

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