Generalized and Classical Blockmodeling of Valued Networks
An R package for Generalized and classical blockmodeling of valued net...
Create canonical partition and find unique canonical partitions in a l...
Function for extraction of some elements for objects, returend by func...
Functions for Generalized blockmodeling for valued networks
Expands a square matrix by repeating each row/column the specified num...
Computing the threshold
A formating function for numbers
Computation of function values by blocks
Generalized matrix multiplication
The function for generating random partitions
A wrapper for function gplot - Two-Dimensional Visualization of Graphs
Function for iterated row and column normalization of valued matrices
Replaces NaN values by the speficied values (0 by default)
Functions for listing all possible partitions or just counting the num...
Optimizing a set of partitions based on the value of a criterion funct...
Orders the partition so that mean values of fun applied to columns (...
Functions for loading and writing Pajek files
Functions for plotting a partitioned matrix (representing the network)
Nice printing of the blocks parameter as used in optRandomParC and...
Comparing partitions on one or multiple sets of units
Recode
REGE - Algorithms for compiting (dis)similarities in terms of regular ...
Functions for computing "relative inverse" (x[1]/x).
Reordering an image matrix of the blockmodel (or an error matrix based...
Calculate the value of the Relative Fit function
Computes distances in terms of Structural equivalence (Lorrain & White...
Functions creating a list of partitions based on a single partition an...
Sum of Squared deviations from the mean and sum of Absolute Deviations...
Two-mode network conversions
Function for "unlisting" a partition.
Unlist a partition.
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>.