From the website:
NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.
….
Features:
- Standard graph-theoretic and statistical physics functions
- Easy exchange of network algorithms between applications,
disciplines, and platforms- Many classic graphs and synthetic networks
- Nodes and edges can be "anything"
(e.g. time-series, text, images, XML records)- Exploits existing code from high-quality legacy software in C,
C++, Fortran, etc.- Open source (encourages community input)
- Unit-tested
NetworkX is a nice way to display topic maps as graphs.
Its importance for topic maps lies in the ability to study properties of nodes (representatives of subjects, including relationships) and composition of nodes (merging in topic map speak).
[…] That list of features seems quite different from when I first covered it in January of this year. […]
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