blockmodeling R package

The package blockmodeling is primarily meant as an implementation of Generalized blockmodeling for valued networks. It also supports multirelational and multilevel blockmodeling. In addition, functions for computation of (dis)similarities in terms of structural and regular equivalence, plotting and other "utility" functions are provided.

If you find any bugs, please report to email: ales{dot}ziberna{at}fdv{dot}uni-lj{dot}si

A relatively tested stable version is available on CRAN. To install the package from CRAN directly within R type:
install.packages("blockmodeling").

The latest version, assumed (sometimes not sufficiently tested) to be stable which includes the latest upgrades and bug fixes is available on R-Forge repository. The package there is build during the night. There the package is available in 2 formats: Package source (.tar.gz) and Windows binary (.zip).

To install the package from R-Forge directly within R type:
install.packages("blockmodeling",repos="http://R-Forge.R-project.org")

blockmodeling R-Forge repository hosts also old and testing versions of this package. The testing versions might have serious bugs or might even be outdated (use only if advised). It also hosts some related packages.

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

Aleš Žiberna
associate professor
Faculty of Social Sciences
University of Ljubljana
email: ales{dot}ziberna{at}fdv{dot}uni-lj{dot}si

Web page at Faculty of Social Sciences

Fabio Ashtar Telarico has created a BlockmodelingGUI R package and standalone program that represents a GUI for the package for the analysis of one-mode single-relational networks.

• DOREIAN, Patrick, BATAGELJ, Vladimir, FERLIGOJ, Anuška. Generalized blockmodeling, (Structural analysis in the social sciences, 25). Cambridge [etc.]: Cambridge University Press, 2005. XV, 384 p., ISBN 0-521-84085-6.
• TELARICO, Fabio Ashtar, ŽIBERNA, Aleš. GUI for the Generalised Blockmodeling of Valued Networks (version 1.8.3). R. Ljubljana (Slovenia): Faculty of Social Sciences (FDV) at the University of Ljubljana, 2022. https://doi.org/10.5281/zenodo.6554608.
• WHITE, Douglas R., Karl P. REITZ (1983): Graph and semigroup homomorphisms on networks of relations. Social Networks, 5, p.193-234.
• WHITE, Douglas R.(2005): REGGE (web page). http://eclectic.ss.uci.edu/~drwhite/REGGE/ (12.5.2005).
• ŽIBERNA, Aleš (2007): Generalized Blockmodeling of Valued Networks. Social Networks, 29, p. 105-126.[http://dx.doi.org/10.1016/j.socnet.2006.04.002]. Author accepted manuscript.
• ŽIBERNA, Aleš (2007): Generalized Blockmodeling of Valued Networks. Doctoral dissertation. PDF (A typo on page 39 corrected on October 22, 2010)
• ŽIBERNA, Aleš (2008): Direct and indirect approaches to blockmodeling of valued networks in terms of regular equivalence. Journal of Mathematical Sociology, vol. 32, no. 1, p. 57-84. [http://www.informaworld.com/smpp/content?content=10.1080/00222500701790207]
• ŽIBERNA, Aleš (2009): Evaluation of Direct and Indirect Blockmodeling of Regular Equivalence in Valued Networks by Simulations. Metodološki zvezki 6(2), 99–134. [http://www.stat-d.si/mz/mz6.1/ziberna.pdf]
• ŽIBERNA, Aleš (2013): Generalized Blockmodeling of Sparse Networks. Metodološki zvezki 10(2) (use this link to find supplementary materials), 99–119. [http://www.stat-d.si/mz/mz10.1/Ziberna2013.pdf]
• ŽIBERNA, Aleš (2014): Blockmodeling of Multilevel Networks. Social Networks 39 (October): 46–61.[http://dx.doi.org/10.1016/j.socnet.2014.04.002]. arXiv - Author accepted manuscript
• ŽIBERNA, Aleš, LAZEGA, Emmanuel (2016): Role Sets and Division of Work at Two Levels of Collective Agency: The Case of Blockmodeling a Multilevel (Inter-Individual and Inter-Organizational) Network. In Multilevel Network Analysis for the Social Sciences, edited by Emmanuel Lazega and Tom A. B. Snijders, 173–209. Methodos Series 12. Springer International Publishing. [http://dx.doi.org/10.1007/978-3-319-24520-1_8].