find_node_undirected_cpp

Fill missing values in node sequence. Defined for <code>wdnet::rpanet</code>.

internal

Assortativity coefficients, centrality measures,
and clustering coefficients for weighted and directed networks.
Rewiring unweighted networks with given assortativity coefficients.
Generating general preferential attachment networks.

Yelie Yuan

wdnet

Weighted and Directed Networks

Tiandong Wang

Jun Yan

Panpan Zhang

find_node_undirected_cpp function

<dl><dt>node1</dt>
<dd>Nodes in the first column of edgelist, i.e., <code>edgelist[, 1]</code>.</dd>
<dt>node2</dt>
<dd>Nodes in the second column of edgelist, i.e., <code>edgelist[, 2]</code>.</dd>
<dt>start_edge</dt>
<dd>Index of sampled edges, corresponds to the missing nodes in node1 and node2.</dd>
<dt>end_edge</dt>
<dd>Index of sampled edges, corresponds to the missing nodes in node1 and node2.</dd></dl>

Arguments

Fill missing values in node sequence. Defined for wdnet::rpanet. — find_node_undirected_cpp

<dl>

<dt>node1</dt>
<dd>Nodes in the first column of edgelist, i.e., <code>edgelist[, 1]</code>.</dd>


<dt>node2</dt>
<dd>Nodes in the second column of edgelist, i.e., <code>edgelist[, 2]</code>.</dd>


<dt>start_edge</dt>
<dd>Index of sampled edges, corresponds to the missing nodes in node1 and node2.</dd>


<dt>end_edge</dt>
<dd>Index of sampled edges, corresponds to the missing nodes in node1 and node2.</dd>

</dl>

find_node_undirected_cpp: Fill missing values in node sequence. Defined for `wdnet::rpanet`.

Description

Usage

Value

Arguments