topnode: Orders players by individual centrality from high to low

In keyplayer: Locating Key Players in Social Networks

Orders players by individual centrality from high to low

Description

topnode Orders players by individual centrality from high to low

Usage

topnode(
  adj.matrix,
  type,
  M = Inf,
  T = ncol(adj.matrix),
  method,
  binary = FALSE,
  cmode,
  large = TRUE,
  geodist.precomp = NULL
)

Arguments

adj.matrix	Matrix indicating the adjacency matrix of the network.
type	type="betweenness" for betweenness centrality. type="closeness" for closeness centrality. type="degree" for degree centraslity. type="diffusion" for diffusion centrality. type="evcent" for evcent (eigenvector) centrality. type="fragment" for fragment centrality. type="mreach.degree" for mreach.degree centrality. type="mreach.closeness" for mreach.closeness centrality.
M	Positive number indicating the maximum geodistance between two nodes, above witch the two nodes are considered disconnected. The default is Inf. The option is applicable to mreach.degree, mreach.closeness, and fragmentation centralities.
T	Integer indicating the maximum number of iterations of communication process. For diffusion centrality only. In the first iteration, the adjacency matrix is as the input. In the nth iteration, the adjacency matrix becomes the input adjacency matrix to the power of n. By default, T is the network size.
method	Indication of which grouping criterion should be used. "min" indicates the "minimum" criterion and is suggested for betweenness, closeness, fragmentation, and M-reach centralities. "max" indicates the "maximum" criterion and is suggested for degree and eigenvector centralities. "add" indicates the "addition" criterion and is suggested for degree and eigenvector centralities as an altenative of "max". "union" indicates the "union" criterion and is suggested for diffusion centrality. By default, kpset uses "min". See kpcent Details section for explanations on grouping method.
binary	If TRUE, the adjacency matrix is binarized. If FALSE, the edge values are considered. By default, binary=FALSE
cmode	String indicating the type of centrality being evaluated. The option is applicable to degree and M-reach centralities. "outdegree", "indegree", and "total" refer to indegree, outdegree, and (total) degree respectively. "all" reports all the above measures. The default is to report the total degree. The option also applies to closeness centrality, but with different options. The default is to use the Gil-Schmidt power index as the closeness measure. See closeness for complete options.
large	Logical scalar, whether the computation method for large network is implemented. If TRUE (the default), the method implmented in igraph is used; otherwise the method implemented in sna is used.
geodist.precomp	Geodistance precomputed for the graph to be analyzed (optional). #'

Value

A vector of indices by individual centrality from high to low

keyplayer documentation built on Nov. 8, 2023, 9:06 a.m.