comps: Find Components in Multiple Networks

In multiplex: Algebraic Tools for the Analysis of Multiple Social Networks

Find Components in Multiple Networks

Description

Function to find different components and isolated nodes in the multiple networks.

Usage

comps(x, bonds = c("entire", "strong", "weak"), sort)

Arguments

x	An array representing a given network.
bonds	Type of bonds for components creation: "entire": all bundle patterns "strong": mutual bundles (reciprocal, exchange, and mixed) "weak": asymmetrical bundles (and entraiment)
sort	(optional and logical, default FALSE) Sort components by size?

Details

Components and isolates in network x are derived from the transitive closure of bundle ties. By default, the computation takes the entire system, but the bonds option lets the selection of other types of relational bundles for the resulted components.

The sort argument outputs components length in ascending size, such as dyads, triads, and larger groups when present. Changing the order of the existing components may have consequences in the layout of the graph when plotting it with function multigraph.

Value

A list object of length two with the bonds type in the class attribute:

com	List or vector with network components
isol	Vector with network isolates

See Also

bundles, summaryBundles, bundle.census, rel.sys

Examples

# create two binary relations among three elements
arr <- round( replace( array(runif(18), c(3,3,2)), array(runif(18),
       c(3,3,2))>.5, 1 ) )

# find the components and isolates
comps(arr)

multiplex documentation built on July 30, 2026, 5:13 p.m.