Description Usage Arguments Value Author(s) References Examples
Computes global average shortest path length, local average shortest path length, eccentricity, and diameter of a network
1 | pathlengths(A, weighted = FALSE)
|
A |
An adjacency matrix of network data |
weighted |
Is the network weighted?
Defaults to |
Returns a list containing:
ASPL |
Global average shortest path length |
ASPLi |
Local average shortest path length |
ecc |
Eccentricity (i.e., maximal shortest path length between a node and any other node) |
D |
Diameter of the network (i.e., the maximum of eccentricity) |
Alexander Christensen <alexpaulchristensen@gmail.com>
Rubinov, M., & Sporns, O. (2010). Complex network measures of brain connectivity: Uses and interpretations. NeuroImage, 52, 1059-1069.
1 2 3 4 5 6 7 8 | # Pearson's correlation only for CRAN checks
A <- TMFG(neoOpen, normal = FALSE)$A
#Unweighted
PL <- pathlengths(A)
#Weighted
PL <- pathlengths(A, weighted = TRUE)
|
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