small.world calculates the normalized characteristic path length and
clustering coefficient based on observed and random graphs, used to calculate
the small-world coefficient \(\sigma\).
small.world(g.list, rand)A data.table with the following components:
The range of density thresholds used.
The number of random graphs that were generated.
The observed, average random, and normalized characteristic path length.
The observed, average random, and normalized clustering coefficient.
The small-world measure of the graph.
A brainGraphList object or list of graphs
List of (lists of) equivalent random graphs (output from
sim.rand.graph.par)
Christopher G. Watson, cgwatson@bu.edu
Watts, D.J. and Strogatz S.H. (1998) Collective dynamics of "small-world" networks. Nature, 393, 440--442. tools:::Rd_expr_doi("10.1038/30918")