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A small python package designed to calculate the small-world propensity of a weighted, undirected network. Translated from the MATLAB version featured in Muldoon et al.
pip install small-world-propensity
PyPI declares 3 unique dependency rules for this release. Environment markers are shown when supplied by the project.
small-world-propensity publishes 1 wheel and 1 source archive for version 0.0.19. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12.
PyPI lists 16 releases with files. The first dated release is ; 16 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .