harmonic_centrality {CINNA} | R Documentation |
This function computes Harmonic Centrality. The harmonic metric defines as the denormalized reciprocal of the harmonic mean of all distances.
harmonic_centrality( x, vids = V(x), mode = c("all", "out", "in"), weights = NULL )
x |
An igraph or a network object |
vids |
Nodes to be considered in the calculation |
mode |
a character value, “out” for out-degree, “in” for in-degree or “total” for the sum of the two. For undirected graphs this argument is ignored. “all” is a synonym of “total”. |
weights |
Numeric vector indicating weights of the edges |
a vector including centrality values for each node
Minoo Ashtiani, Mehdi Mirzaie, Mohieddin Jafari
BOLDI, P. & VIGNA, S. 2014. Axioms for centrality. Internet Mathematics, 00-00.
MARCHIORI, M. & LATORA, V. 2000. Harmony in the small-world. Physica A: Statistical Mechanics and its Applications, 285, 539-546.
OPSAHL, T., AGNEESSENS, F. & SKVORETZ, J. 2010. Node centrality in weighted networks: Generalizing degree and shortest paths. Social Networks, 32, 245-251.
OPSAHL, T. 2010. Closeness centrality in networks with disconnected components (http://toreopsahl.com/2010/03/20/closeness-centrality-in-networks-with-disconnected-components/)
data(zachary) harmonic_centrality(zachary)