Blockmodeling is a method for clustering units in a network.

Generalized blockmodeling is an deterministic direct blockmodeling approach. Several approaches to generalized blockmodeling exist, including:

• Generalized blockmodeling of binary networks
• Generalized blockmodeling of valued networks
• Homogeneity blockmodeling

In addition to blockmodeling one-mode and two-mode networks, it can also be used for blockmodeling linked networks.

I am developing and maintaining blockmodeling R package

Here is a search result my publications relented to generalized blockmodeling from COBISS

I am developing and creating an R package kmBlock for k-means blockmodeling of one-mode and linked networks.

The package is available on R-Forge together with some other blockmodeling R packages. To install directly within R type:

• For kmBlock: install.packages("kmBlock",repos="http://R-Forge.R-project.org")
• For kmBlockTest: install.packages("kmBlockTest",repos="http://R-Forge.R-project.org")

Relevant paper:

• EUSN 2021 Workshop: Generalized blockmodeling in R using blockmodeling package