snac_resample

Features tools for the network data analysis and community detection.
Provides multiple methods for fitting, model selection and goodness-of-fit testing in degree-corrected stochastic blocks models.
Most of the computations are fast and scalable for sparse networks, esp. for Poisson versions of the models.
Implements the following:
Amini, Chen, Bickel and Levina (2013) <doi:10.1214/13-AOS1138>
Bickel and Sarkar (2015) <doi:10.1111/rssb.12117>
Lei (2016) <doi:10.1214/15-AOS1370>
Wang and Bickel (2017) <doi:10.1214/16-AOS1457>
Zhang and Amini (2020) <arXiv:2012.15047>
Le and Levina (2022) <doi:10.1214/21-EJS1971>.

Arash A. Amini

nett

Network Analysis and Community Detection

Linfan Zhang

snac_resample function

<dl><dt>A</dt>
<dd>adjacency matrix</dd>
<dt>nrep</dt>
<dd>number of times SNAC+ is computed</dd>
<dt>Kmin</dt>
<dd>minimum community number to use in SNAC+</dd>
<dt>Kmax</dt>
<dd>maximum community number to use in SNAC+</dd>
<dt>ncores</dt>
<dd>number of cores to use in the parallel computing</dd>
<dt>seed</dt>
<dd>seed for random sampling</dd></dl>

Arguments

Resampled SNAC+ — snac_resample

<dl>

<dt>A</dt>
<dd>adjacency matrix</dd>


<dt>nrep</dt>
<dd>number of times SNAC+ is computed</dd>


<dt>Kmin</dt>
<dd>minimum community number to use in SNAC+</dd>


<dt>Kmax</dt>
<dd>maximum community number to use in SNAC+</dd>


<dt>ncores</dt>
<dd>number of cores to use in the parallel computing</dd>


<dt>seed</dt>
<dd>seed for random sampling</dd>

</dl>

snac_resample: Resampled SNAC+

Description

Usage

Value

Arguments