Enron

A data set of counts of emails between email addresses
This is a non-symmetric network.
Nodes represent email address.
The edge-state ij between two email addresses i and j is the number of emails sent from i to j
The Groups vector is the node label from the igraph attribute "notes"

datasets

Inference in a Bayesian framework for a generalised stochastic block model. The generalised stochastic block model (SBM) can capture group structure in network data without requiring conjugate priors on the edge-states. Two sampling methods are provided to perform inference on edge parameters and block structure: a split-merge Markov chain Monte Carlo algorithm and a Dirichlet process sampler. Green, Richardson (2001) <doi:10.1111/1467-9469.00242>; Neal (2000) <doi:10.1080/10618600.2000.10474879>; Ludkin (2019) <arXiv:1909.09421>.

Matthew Ludkin

SBMSplitMerge

Inference for a Generalised SBM with a Split Merge Sampler

Enron function

A list containing<dl class="dl-horizontal">
 <dt>Edges</dt><dd>an edges object with each edge-state representing the number of emails between two email addresses</dd>
 <dt>Groups</dt><dd>A vector giving a group name to which the email address belong. The order matches the edges such that Edges[i,j] is the edge-state between the nodes i and nodes j who are members of Groups[i] and Groups[j] respectively</dd>
</dl>

Format

The Enron data set as extracted from <code>igraph</code> using the script in data-raw — Enron

A list containing<dl class='dl-horizontal'>
 <dt>Edges</dt><dd>an edges object with each edge-state representing the number of emails between two email addresses</dd>
 <dt>Groups</dt><dd>A vector giving a group name to which the email address belong. The order matches the edges such that Edges[i,j] is the edge-state between the nodes i and nodes j who are members of Groups[i] and Groups[j] respectively</dd>
</dl>

Enron: The Enron data set as extracted from `igraph` using the script in data-raw

Description

Usage

Arguments

Format