signed_blockmodel: Blockmodeling for signed networks

In signnet: Methods to Analyse Signed Networks

Blockmodeling for signed networks

Description

Finds blocks of nodes with intra-positive and inter-negative edges

Usage

signed_blockmodel(g, k, alpha = 0.5, annealing = FALSE)

Arguments

g	igraph object with a sign edge attribute.
k	number of blocks
alpha	see details
annealing	logical. if TRUE, use simulated annealing (Default: FALSE)

Details

The function minimizes P(C)=\alphaN+(1-\alpha)P, where N is the total number of negative ties within plus-sets and P be the total number of positive ties between plus-sets. This function implements the structural balance model. That is, all diagonal blocks are positive and off-diagonal blocks negative. For the generalized version see signed_blockmodel_general.

Value

numeric vector of block assignments and the associated criterion value

Author(s)

David Schoch

References

Doreian, Patrick and Andrej Mrvar (2009). Partitioning signed social networks. Social Networks 31(1) 1-11

Examples

library(igraph)

g <- sample_islands_signed(10, 10, 1, 20)
clu <- signed_blockmodel(g, k = 10, alpha = 0.5)
table(clu$membership)
clu$criterion

# Using simulated annealing (less change of getting trapped in local optima)
data("tribes")
clu <- signed_blockmodel(tribes, k = 3, alpha = 0.5, annealing = TRUE)
table(clu$membership)
clu$criterion

signnet documentation built on Sept. 9, 2023, 1:06 a.m.