Differences

This shows you the differences between two versions of the page.

--- workshops:eusn22:start [2022/09/06 14:41] – [Description] aleszib
+++ workshops:eusn22:start [2022/09/10 22:24] (current) – [Critical] aleszib
@@ Line 18: / Line 18: @@
   * {{ :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: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:further_reading.pdf |Additional reading material}}
@@ Line 24: / Line 24: @@
 ===== Requirements =====
 ==== Critical ====
-  * Working R environment (I recommend R Studio, but essentially anything you are familiar with) with fairly recent R (I'm using 4.0.2, 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 1.0.5. As version 1.0.5 was uploaded to CRAN on Friday (3 September 2021), binary version might not be available for your OS and R version. The most recent version 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 ====
-  * 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.
 ===== 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.
@@ Line 40: / Line 42: @@
 Some background literature:
   * Doreian, P., Batagelj, V., Ferligoj, A., 2005. Generalized blockmodeling. Cambridge University Press, New York.
-  * Žiberna, A., 2022. blockmodeling 1.1.3: An R package for generalized and classical blockmodeling of valued networks.
+  * Matjašič, M., Cugmas, M., & Žiberna, A., 2020. blockmodeling: An R package for generalized blockmodeling. Advances in Methodology and Statistics, 17(2), 49–66. [[https://doi.org/10.51936/uhir1119]]
-  * Žiberna, A., 2007. Generalized blockmodeling of valued networks. Social Networks 29, 105–126. https://doi.org/10.1016/j.socnet.2006.04.002
+  * Žiberna, A., 2007. Generalized blockmodeling of valued networks. Social Networks 29, 105–126. [[https://doi.org/10.1016/j.socnet.2006.04.002]]