marcellamontagnese/smallworldness

MATLAB code for computing and testing small-world-ness

Small-World-Ness

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

============================ Includes PDFs of the original papers:

• 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

• 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

============================= Uses:
reachdist.m
clustering_coef_bu

from the Brain Connectivity Toolbox: https://sites.google.com/site/bctnet/Home