====== Blockmodeling ======
[[wp>Blockmodeling]] is a method for clustering units in a network. 

===== Generalized blockmodeling =====
[[wp>Generalized_blockmodeling|Generalized blockmodeling]] is a [[wp>Deterministic_blockmodeling|deterministic]] direct blockmodeling approach. Several approaches to generalized blockmodeling exist, including:
  * [[wp>|Generalized blockmodeling of binary networks]]
  * [[wp>Generalized_blockmodeling_of_valued_networks|Generalized blockmodeling of valued networks]]
  * [[wp>Homogeneity_blockmodeling|Homogeneity blockmodeling]]

In addition to blockmodeling one-mode and two-mode networks, it can also be used for [[wp>Blockmodeling_linked_networks|blockmodeling linked networks]].

I am developing and maintaining [[blockmodeling:blockmodeling R package|blockmodeling R package]]

Here is a [[https://plus.si.cobiss.net/opac7/bib/search/advanced?as=27576&kw=generalized+blockmodeling&db=cobib&mat=allmaterials&tdf=1.01&tdf=2.08&tdf=2.21&max=100|search result my publications related to generalized blockmodeling]] from [[wp>COBISS]]

===== k-means blockmodeling =====

I am developing and creating an R package ''kmBlock'' for k-means blockmodeling of one-mode and [[wp>Linked network|linked networks]].

The package is available on [[https://r-forge.r-project.org/R/?group_id=203|R-Forge]] together with some other blockmodeling R packages. To install directly within R type:
  * For ''kmBlock'': ''install.packages("kmBlock",repos="<nowiki>http://R-Forge.R-project.org</nowiki>")''
  * For ''kmBlockTest'': ''install.packages("kmBlockTest",repos="<nowiki>http://R-Forge.R-project.org</nowiki>")''

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: [[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: [[doi>10.1007/s11192-020-03708-x]].

===== Stochastic blockmodeling =====
For general information see [[wp>Stochastic block model]]

I am developing and creating an R package ''StochBlockTest'' for stochastic blockmodeling of one-mode and [[wp>Linked network|linked networks]]. 

The package is available on [[https://r-forge.r-project.org/R/?group_id=203|R-Forge]] together with some other blockmodeling R packages. To install directly within R type:\\
''StochBlockTest'': ''install.packages("kmBlock",repos="<nowiki>http://R-Forge.R-project.org</nowiki>")''

===== Workshops =====
  * [[https://eusn2022.org/|EUSN 2022]] [[workshops:EUSN22:start|Workshop: Generalized blockmodeling in R using blockmodeling package]]
  * [[http://www.eusn2021.unina.it/|EUSN 2021]] [[workshops:EUSN21:start|Workshop: Generalized blockmodeling in R using blockmodeling package]]