wiener_index_centrality: Wiener Index Centrality
Description
This function computes the Wiener Index Centrality for nodes in a network. The Wiener index is a measure of centrality that computes the sum of all shortest paths between a node and all other related nodes in the graph. In essence, it is similar to closeness centrality, but without taking the reciprocal, resulting in a measure with the opposite meaning.
Usage
wiener_index_centrality(
x,
vids = V(x),
mode = c("all", "out", "in"),
weights = NULL
)Value
A numeric vector including the centrality values for each node.
The centrality values represent the Wiener Index Centrality measure for each node in the network.
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 directed graphs should be considered. For undirected graphs, "all" is used.
- weights
Numeric vector indicating weights of the edges.
Author
Minoo Ashtiani, Mehdi Mirzaie, Mohieddin Jafari
References
Scardoni, G. and Carlo Laudanna, C.B.M.C. (2011). Network centralities for Cytoscape. University of Verona.
Examples
Run this code
data(zachary)
wiener_index_centrality(zachary)
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