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NetworKit

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Provides tools for the analysis of large networks in the size range from thousands to billions of edges. NetworKit is a growing open-source toolkit for large-scale network analysis. 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 measures.

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NetworKit classification

NetworKit specifications

Software type:
Package/Module
Restrictions to use:
None
Programming languages:
Python
Computer skills:
Advanced
Maintained:
Yes
Interface:
Command line interface
Operating system:
Unix/Linux, Mac OS, Windows
License:
MIT License
Stability:
Stable

NetworKit distribution

versioning

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NetworKit support

Maintainer

  • Networkit Team <>

Credits

Funding source(s)

This work was partially supported by the Ministry of Science, Research and the Arts Baden-Wurttemberg, by DFG grant ME-3619/3-1 (FINCA) within the SPP 1736 Algorithms for Big Data and by the RISE program of the German Academic Exchange Service (DAAD).

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