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        <title>Aleš Žiberna blockmodeling</title>
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        <description>blockmodeling R package

Basic description

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 &quot;utility&quot; functions are provided.</description>
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        <description>Making blockmodeling easier: A GUI for the R package ''blockmodeling''

A GUI for the package blockmodeling has published for the first time in May 2022 after several months of work under my direction. This ad hoc R-Shiny GUI is meant to help users access the main functionalities of the package. However, it also allows to use other functions of the R language for statistical computing and some other packages for network analysis.</description>
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        <description>My EUSN 2021 notes

	*  Sirio Legramanti, Tommaso Rigon, Daniele Durante, David B. Dunson: Extended Stochastic Block Models with Application to Criminal Networks:
		*  Durante presetned paper at EUSN21
		*  Paper on arXiv
		*  Github repo for suplementary material to the paper including source code (R and C++) and examples

	*  Contisciani M., Power E. &amp; De Bacco C. (2020). Community detection with node attributes in multilayer networks, Scientific Reports 10, 15736 (2020).</description>
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        <description>Blockmodeling

Blockmodeling is a method for clustering units in a network. 

Generalized blockmodeling

Generalized blockmodeling is a deterministic direct blockmodeling approach. Several approaches to generalized blockmodeling exist, including:

	*  Generalized blockmodeling of binary networks
	*  Generalized blockmodeling of valued networks
	*  Homogeneity blockmodeling

In addition to blockmodeling one-mode and two-mode networks, it can also be used for</description>
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