extract_largest_cc

Extract the largest connected component of a network

utils

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

extract_largest_cc function

<dl><dt>gr</dt>
<dd>The network as an igraph object</dd>
<dt>mode</dt>
<dd>Type of connected component ("weak"|"strong")</dd></dl>

Arguments

Extract largest component — extract_largest_cc

<dl>

<dt>gr</dt>
<dd>The network as an igraph object</dd>


<dt>mode</dt>
<dd>Type of connected component ("weak"|"strong")</dd>

</dl>

extract_largest_cc: Extract largest component

Description

Usage

Value

Arguments