Table of Contents
Blockmodeling
Blockmodeling is a method for clustering units in a network.
Generalized blockmodeling
Generalized blockmodeling is a deterministic direct blockmodeling approach. Several approaches to generalized blockmodeling exist, including:
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 related to generalized blockmodeling from COBISS
k-means blockmodeling
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:
- ŽIBERNA, Aleš. K-means-based algorithm for blockmodeling linked networks. Social Networks. [Print ed.]. May 2020, vol. 61, str. 153-169, ilustr. ISSN 0378-8733. https://www.sciencedirect.com/science/article/pii/S0378873319300176, DOI: 10.1016/j.socnet.2019.10.006.
- CUGMAS, Marjan, MALI, Franc, ŽIBERNA, Aleš. Scientific collaboration of researchers and organizations : a two-level blockmodeling approach. Scientometrics. Dec. 2020, vol. 125, no. 3, str. 2471-2489, ilustr. ISSN 0138-9130. DOI: 10.1007/s11192-020-03708-x.
Stochastic blockmodeling
For general information see Stochastic block model
I am developing and creating an R package StochBlockTest for stochastic 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:
StochBlockTest: install.packages("kmBlock",repos="http://R-Forge.R-project.org")