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blockmodeling (version 0.3.6)

Generalized and Classical Blockmodeling of Valued Networks

Description

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: iberna (2007), iberna (2008), iberna (2014).

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Version

Install

install.packages('blockmodeling')

Monthly Downloads

1,294

Version

0.3.6

License

GPL (>= 2)

Maintainer

Ales Ziberna

Last Published

February 15th, 2020

Functions in blockmodeling (0.3.6)

Functions for Generalized blockmodeling for valued networks

Functions for listing all possible partitions or just counting the number of them

Two-mode network conversions

The function for generating random partitions

Optimizing a set of partitions based on the value of a criterion function

Sum of Squared deviations from the mean and sum of Absolute Deviations from the median

Function for iterated row and column normalization of valued matrices

Functions for plotting a partitioned matrix (representing the network)

Comparing partitions

The notes borrowing network between social-informatics students

Reordering an image matrix of the blockmodel (or an error matrix based on new and old partition

Computes distances in terms of Structural equivalence (Lorrain & White, 1971)

A formating function for numbers

Computation of function values by blocks

REGE - Algorithms for compiting (dis)similarities in terms of regular equivalnece

Functions for loading and writing Pajek files

Computing the threshold

blockmodeling-package

An R package for Generalized and classical blockmodeling of valued networks

A wrapper for function gplot - Two-Dimensional Visualization of Graphs

Function for extraction of some elements for objects, returend by functions for Generalized blockmodeling

Generalized matrix multiplication