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--- blockmodeling:start [2021/09/07 11:46] – [k-means blockmodeling] aleszib
+++ blockmodeling:start [2022/09/06 11:02] (current) – [Workshops] aleszib
@@ Line 3: / Line 3: @@
 ===== Generalized blockmodeling =====
-[[wp>Generalized_blockmodeling|Generalized blockmodeling]] is an [[wp>Deterministic_blockmodeling|deterministic]] direct blockmodeling approach. Several approaches to generalized blockmodeling exist, including:
+[[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]]
@@ Line 12: / Line 12: @@
 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 relented to generalized blockmodeling]] from [[wp>COBISS]]
+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 linked networks.
+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]]