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Computes global average shortest path length (ASPL), local average shortest path length (ASPLi), eccentricity (ecc), and diameter (D) 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 of ASPL, ASPLi, ecc, and D
Returns a list of ASPL, ASPLi, ecc, and D of a network
Rubinov, M., & Sporns, O. (2010). Complex network measures of brain connectivity: Uses and interpretations. Neuroimage, 52(3), 1059-1069.
# NOT RUN { A<-TMFG(neoOpen)$A unweighted_PL<-pathlengths(A) weighted_PL<-pathlengths(A, weighted=TRUE) # }
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