MATLAB code for computing small-world-ness
Includes functions for:
computing small-world-ness from data networks
statistically testing the data network divergence from an E-R random graph
See Computing_And_Testing_S_On_Data_Network.m for examples of all analyses on a test network
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Includes PDFs of the original papers:
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Humphries, M. D.; Gurney, K. & Prescott, T. J. (2006) The brainstem reticular formation is a small-world, not scale-free, network. Proceedings of the Royal Society B. Biological Sciences, 273, 503-511
This paper introduced the small-world-ness measure
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Humphries, M. D. & Gurney, K. (2008) Network 'small-world-ness': A quantitative method for determining canonical network equivalence PLoS One, 3, e0002051
This paper analysed the behaviour of the small-world-ness measure, and explored its insights for a range of real-world networks
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Uses:
reachdist.m
clustering_coef_bu
from the Brain Connectivity Toolbox: https://sites.google.com/site/bctnet/Home