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workshops:eusn22:start [2022/09/06 15:34] aleszibworkshops:eusn22:start [2022/09/10 22:24] (current) – [Critical] aleszib
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   * {{ :workshops:eusn22:sharedfiles:matjasic2020.pdf |Tutorial to blockmodeling R package}}   * {{ :workshops:eusn22:sharedfiles:matjasic2020.pdf |Tutorial to blockmodeling R package}}
   * {{ :workshops:eusn22:sharedfiles:networks_description.pdf|Description of networks}} available in the file "Data and code"   * {{ :workshops:eusn22:sharedfiles:networks_description.pdf|Description of networks}} available in the file "Data and code"
-  * {{ :workshops:eusn22:sharedfiles:sar_texas_ex.html |Main script with comments that will be used in the workshop}}+  * {{:workshops:eusn22:sharedfiles:sar_texas_ex.html |Main script with comments that will be used in the workshop}}, [[http://www2.arnes.si/~aziber4/eusn22/SAR_texas_ex.html|Main script with comments that will be used in the workshop - external server, images showing without problems]]
   * {{ :workshops:eusn22:sharedfiles:dataandcode.zip |Data and code (Zip file)}}   * {{ :workshops:eusn22:sharedfiles:dataandcode.zip |Data and code (Zip file)}}
   * {{ :workshops:eusn22:sharedfiles:further_reading.pdf |Additional reading material}}   * {{ :workshops:eusn22:sharedfiles:further_reading.pdf |Additional reading material}}
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 ==== Critical ==== ==== Critical ====
   * Working R environment (I recommend R Studio, but essentially anything you are familiar with) with fairly recent R (4.0.2 and later are ok, but the exact version is not important, more recent is better)   * Working R environment (I recommend R Studio, but essentially anything you are familiar with) with fairly recent R (4.0.2 and later are ok, but the exact version is not important, more recent is better)
-  * The package [[https://cran.r-project.org/web/packages/blockmodeling/index.html|blockmodeling]], preferably version 1.1.3 from [[https://cran.r-project.org/web/packages/blockmodeling/|CRAN]]. The most recent (but sometimes testingversion is also available on [[https://r-forge.r-project.org/R/?group_id=203|R-forge]].+  * The package ''[[https://cran.r-project.org/web/packages/blockmodeling/index.html|blockmodeling]]'': 
 +    * Preferably version 1.1.3.9000 from [[https://r-forge.r-project.org/R/?group_id=203|R-forge]], which can be installed using ''install.packages("blockmodeling", repos="http://R-Forge.R-project.org")''. Warning: [[https://r-forge.r-project.org/R/?group_id=203|R-forge]] always contains the latest versions, but they are sometimes not sufficiently tested. 
 +    * Almost as good version 1.1.3 [[https://cran.r-project.org/web/packages/blockmodeling/|CRAN]], which can be installed using ''install.packages("blockmodeling")''
 ==== Very useful ==== ==== Very useful ====
-  * The packages that blockmodeling package suggest - sna, doRNG, doParallel, foreach+  * The packages that blockmodeling package suggest - ''sna''''doRNG''''doParallel''''foreach''.\\ Can be installed using: ''install.packages(c("sna", "doRNG", "doParallel", "foreach"))''
   * The content of the {{ :workshops:eusn22:sharedfiles:dataandcode.zip |Data and code Zip file}} extracted to your computer.   * The content of the {{ :workshops:eusn22:sharedfiles:dataandcode.zip |Data and code Zip file}} extracted to your computer.
  
  
 ===== Description ===== ===== Description =====
- The workshop will cover generalized blockmodeling (Doreian et al., 2005; Žiberna, 2007) of mainly one-mode binary and valued networks in R using “blockmodeling” package (Žiberna, 2021). Only basic knowledge of R and networks/graphs is required.+ The workshop will cover generalized blockmodeling (Doreian et al., 2005; Žiberna, 2007) of mainly one-mode binary and valued networks in R using “blockmodeling” package [[blockmodeling:blockmodeling_r_package|blockmodeling R package]]. Only basic knowledge of R and networks/graphs is required.
  
 The workshop will cover matrix representation of the network, plotting of such matrices, and of course, clustering the units in the network, that is blockmodeling. Clustering units based on structural, regular and generalized equivalence will be covered. The later implies that also prespecified blockmodeling will be covered. The workshop will cover matrix representation of the network, plotting of such matrices, and of course, clustering the units in the network, that is blockmodeling. Clustering units based on structural, regular and generalized equivalence will be covered. The later implies that also prespecified blockmodeling will be covered.
workshops/eusn22/start.1662471295.txt.gz · Last modified: 2022/09/06 15:34 by aleszib