CINNA (version 1.2.0)

wiener_index_centrality: Wiener Index Centrality

Description

This function computes Wiener Index Centrality. The Wiener index computes the sum of the all shortest paths between a node v and all other related nodes in the graph. Fundementally, it's like to the closeness but here since the reciprocal is not computed, the value has the opposite meaning.

Usage

wiener_index_centrality(
  x,
  vids = V(x),
  mode = c("all", "out", "in"),
  weights = NULL
)

Arguments

x

An igraph or a network object

vids

Nodes to be considered in the calculation

mode

A Character value, indicating whether the shortest paths "in" or "out" of the nodes in the directed graphs should be considered. For undirected graphs we use "all".

weights

Numeric vector indicating weights of the edges

Value

a vector including centrality values for each node

References

Scardoni, G. and Carlo Laudanna, C.B.M.C., 2011. Network centralities for Cytoscape. University of Verona.

Examples

# NOT RUN {
data(zachary)

wiener_index_centrality(zachary)

# }