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Computes global average shortest path length, local average shortest path length, eccentricity, and diameter of a network
pathlengths(A, weighted = FALSE)
An adjacency matrix of network data
Is the network weighted? Defaults to FALSE. Set to TRUE for weighted measures
FALSE
TRUE
Returns a list containing:
Global average shortest path length
Local average shortest path length
Eccentricity (i.e., maximal shortest path length between a node and any other node)
Diameter of the network (i.e., the maximum of eccentricity)
Rubinov, M., & Sporns, O. (2010). Complex network measures of brain connectivity: Uses and interpretations. NeuroImage, 52, 1059-1069.
# NOT RUN { # 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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