Eigenvector centrality of a network (re-export)

Formula: see eigcent

Usage

Neteigcent(A)

Arguments

A

See Usage.

Value

List with the payload of :func:morie.fn.eigcen.eigcent.

References

Bonacich (1972), Factoring and weighting approaches to status scores and clique identification, Journal of Mathematical Sociology 2:113-120. Paywalled; the measure is the principal eigenvector of the adjacency matrix, as it is universally described in the centrality literature (e.g. Bonacich 2000, Social Networks 22:357-365, which restates his own definition).

Examples

A <- matrix(c(4, 1, 0.5, 1, 3, 0.8, 0.5, 0.8, 2), nrow = 3)
res <- Neteigcent(A = A)
res
#> $centrality
#> [1] 1.0000000 0.6902008 0.3661862
#> 
#> $unit
#> [1] 0.7879955 0.5438751 0.2885531
#> 
#> $eigenvalue
#> [1] 4.873294
#> 
#> $n
#> [1] 3
#> 
#> $method
#> [1] "Eigenvector centrality (principal eigenvector)"
#> 
#> attr(,"class")
#> [1] "morie_rich_result" "list"