NetworKit - a growing open-source toolkit for large-scale network analysis

NetworKit is an open-source tool suite 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. NetworKit is focused on scalability and comprehensiveness. NetworKit is also a testbed for algorithm engineering and contains novel algorithms from recently published research (see list of publications below).

NetworKit is a Python module. High-performance algorithms are written in C++ and exposed to Python via the Cython toolchain. Python in turn gives us the ability to work interactively and a rich environment of tools for data analysis and scientific computing. Furthermore, NetworKit's core can be built and used as a native library if needed.

Requirements

You will need the following software to install NetworKit as a python package:

• A modern C++ compiler, e.g.: g++ (>= 6.1), clang++ (>= 3.9) or MSVC (>= 14.13)
• OpenMP for parallelism (usually ships with the compiler)
• Python3 (3.6 or higher is supported)
  • Development libraries for Python3. The package name depends on your distribution. Examples:
    • Debian/Ubuntu: apt-get install python3-dev
    • RHEL/CentOS: dnf install python3-devel
    • Windows: Use the official release installer from www.python.org
• Pip
• CMake version 3.6 or higher (Advised to use system....

Author

Magdalena Jarzębska

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