multiplex (version 3.7)

expos: Network Exposure for Multiple Networks

Description

Function to measure the network exposure of the nodes according to a chosen relational system representing the multiple network.

Usage

expos(rs, classes = FALSE, allClasses = FALSE, allNodes = TRUE)

Value

Classes

if option classes is set to TRUE, the adoption membership for the type of relational system chosen, including isolated actors in the system.

Bonds

the type of bonds of the relational system (cf. rel.sys)

Exposure

the exposure to the attribute(s) for acquisition through immediate neighbour relations

Arguments

rs

an object of ‘Rel.System’, typically with node attributes.

classes

(optional) whether or not should be included in the output the categories of adopters

allClasses

(optional) whether or not to include empty classes within the categories of adopters. Ignored if classes is FALSE

allNodes

(optional) whether or not to include all actors in the network regardless they are in the chosen system. Ignored if classes is FALSE

Author

Antonio Rivero Ostoic

Details

This is a generalization of the network exposure measure for multiple networks with the characteristics chosen for the representative relational system. Such a system can be the entire network or configuration with strong or weak bonds among the actors. It is possible to specify different behaviors of the nodes representing social actors, which are indicated in the form of a relational system. The network exposure measure is computed according to the immediate neighbours to the reference actor.

References

Ostoic, J.A.R. “Creating context for social influence processes in multiplex networks.” Network Science, 5(1), 1-29.

Valente, T. W. Social networks and health. Oxford University Press. 2010.

Rogers, E. The Diffusion of Innovations. 5th ed. (1st ed. 1964) The Free Press. 2003.

See Also

rel.sys, neighb, bundles

Examples

# create the data: two binary relations among three elements
arr <- round( replace( array( runif(18), c(3 ,3, 2) ), array( runif(18),
              c(3, 3, 2) ) > .9, 3 ) )

# first array in 'arr' is for attributes
rs <- rel.sys(arr, att = 1)

# compute the exposure measure for an attribute type with adopter categories
expos(rs, classes = TRUE)