manet: Multiple allocation clustering of actor-event networks

In manet: Multiple Allocation Model for Actor-Event Networks

Description

This function infers K multiple allocation cluster for actor-event network data.

Usage

manet(y, K = 2, maxT = 5000, seed = 1, link = "min", verbose = FALSE)

Arguments

y	A n x d actor-event adjacency matrix, whereby y_ij is 1 if actor i attended event j – 0 otherwise.
K	Number of multiple clusters. Default is set to 2.
maxT	Number of MCMC iterations. Default is set to 5000.
seed	Random seed. Default is 1.
link	Method to combine the parameters of the parent clusters into the parameter for the heir cluster. Default is "min". The alternative is "max".
verbose	Set to TRUE if you want to see the steps of the MCMC iterations. Defaults is FALSE.

Value

A manet object consisting of a list with five outputs:

• p.allocation.chain A maxT x n x 2^K array with the posterior probabilities of allocation to the heir clusters.

• p.event.chain A maxT x K x d array with the cluster - posterior probabilities of attendance to events.

• p.community.chain A maxT x 2^K matrix with the heir cluster proportions.

• parent.heir.cluster A 2^K x K matrix, which indicates the relationship between parent and heir clusters.

• adj The original adjacency matrix.

• proc.time The computational time.

Examples

data(deepsouth)
ds<-manet(deepsouth,K=2,maxT=100)
plot(ds)
summary(ds)

manet documentation built on May 2, 2019, 2:31 a.m.