An R package for Generalized and classical blockmodeling of valued networks
The package is primarly ment as an implementation of Generalized blockmodeling for valued networks. In addition, measurese of similarity or dissimilarity based on structural equivalence and regular equivalence (REGE algorithem) can be computed and partitioned matrices can be ploted.

An R package for Generalized and classical blockmodeling of
valued networks
The package is primarly ment as an implementation of
Generalized blockmodeling for valued networks. In addition,
measurese of similarity or dissimilarity based on structural
equivalence and regular equivalence (REGE algorithem) can be
computed and partitioned matrices can be ploted.

An R Package for Generalized and Classical Blockmodeling of
Valued Networks
This is primarily meant as an implementation of Generalized blockmodeling for valued networks. In addition, measures of similarity or dissimilarity based on structural equivalence and regular equivalence (REGE algorithm) can be computed and partitioned matrices can be plotted. This is a CRAN version. A newer version is available on R-forge, which for however lacks help files.

Generalized and Classical Blockmodeling of Valued Networks
stats, methods, Matrix, doParallel, doRNG, parallel, foreach
person("Aleš", "Žiberna", email = "ales.ziberna@gmail.com",
role = c("aut", "cre"))
This is primarily meant as an implementation of Generalized blockmodeling for valued networks. In addition, measures of similarity or dissimilarity based on structural equivalence and regular equivalence (REGE algorithms) can be computed and partitioned matrices can be plotted.

This is primarily meant as an implementation of generalized blockmodeling for valued networks.
In addition, measures of similarity or dissimilarity based on structural equivalence and
regular equivalence (REGE algorithms) can be computed and partitioned matrices can be plotted:
Žiberna (2007)<doi:10.1016/j.socnet.2006.04.002>, Žiberna (2008)<doi:10.1080/00222500701790207>,
Žiberna (2014)<doi:10.1016/j.socnet.2014.04.002>.