centralitytable: Create a table of centrality values

In dkoban/SNAToolKit:

Description

Function for generating a table of the nodes ranked by four common centrality measures (degree, eigenvector, betweenness, and closeness centrality)

Usage

centralitytable(edgelist)

Arguments

edgelist

a dataframe that contains a list of people and their associates. The first column represents source nodes and the second column represents target nodes.

Details

Degree centrality identifies well-connected nodes. Eigenvector centrality identifies nodes that are connected to well-connected nodes. Betweenness centrality identifies nodes that serve as bridges. Closeness centrality identifies nodes that are close to all other nodes in a network.

Examples

# minimal example
source <- c("a", "a", "b", "c", "d", "d", "d")
target <- c("b", "c", "c", "d", "e", "f", "g")
associations <- data.frame(source, target)
centralitytable(edgelist = associations)

# FM 3-24 example association matrix
data("fm3_24_affiliations")
affiliations <- as.data.frame(fm3_24_affiliations)
associations <- transform2social(edgelist = affiliations)
centralitytable(edgelist = associations)

dkoban/SNAToolKit documentation built on May 20, 2019, 1:28 p.m.