Description Usage Arguments Value Author(s) References
This function will calculate the characteristic path length and clustering coefficient, which are used to calculate smallworldness.
1  small.world(g, rand)

g 
The graph (or list of graphs) of interest 
rand 
List of (lists of) equivalent random graphs (output from

A data frame with the following components:
density 
The range of density thresholds used. 
N 
The number of random graphs that were generated. 
Lp 
The characteristic path length. 
Cp 
The clustering coefficient. 
Lp.rand 
The mean characteristic path length of the random graphs with the same degree distribution as g. 
Cp.rand 
The mean clustering coefficient of the random graphs with the same degree distribution as g. 
Lp.norm 
The normalized characteristic path length. 
Cp.norm 
The normalized clustering coefficient. 
sigma 
The smallworld measure of the graph. 
Christopher G. Watson, [email protected]
Watts D.J., Strogatz S.H. (1998) Collective dynamics of 'smallworld' networks. Nature, 393:440442.
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