lh_index: local H-index (LH-index)

In influential: Identification and Classification of the Most Influential Nodes

local H-index (LH-index)

Description

This function calculates the local H-index of input vertices and works with both directed and undirected networks.

Usage

lh_index(
  graph,
  vertices = V(graph),
  mode = "all",
  ncores = "default",
  verbose = FALSE
)

Arguments

graph	A graph (network) of the igraph class.
vertices	A vector of desired vertices, which could be obtained by the V function.
mode	The mode of local H-index depending on the directedness of the graph. If the graph is undirected, the mode "all" should be specified. Otherwise, for the calculation of local H-index based on incoming connections select "in" and for the outgoing connections select "out". Also, if all of the connections are desired, specify the "all" mode. Default mode is set to "all".
ncores	Integer; the number of cores to be used for parallel processing. If ncores == "default" (default), the number of cores to be used will be the max(number of available cores) - 1. We recommend leaving ncores argument as is (ncores = "default").
verbose	Logical; whether the accomplishment of different stages of the algorithm should be printed (default is FALSE).

Value

A vector including the local H-index of each vertex inputted.

See Also

ivi, cent_network.vis

Other centrality functions: betweenness(), clusterRank(), collective.influence(), h_index(), neighborhood.connectivity(), sirir()

Examples

## Not run: 
MyData <- coexpression.data
My_graph <- graph_from_data_frame(MyData)
GraphVertices <- V(My_graph)
lh.index <- lh_index(graph = My_graph, vertices = GraphVertices, mode = "all", ncores = 1)

## End(Not run)

influential documentation built on May 29, 2024, 11:49 a.m.