init_graph

init_graph,numeric,numeric-method

init_graph takes number of nodes (n) and average degree (deg) to generate a random graph.

Providing a set of functions to easily generate and iterate complex networks.
The functions can be used to generate realistic networks with a wide range of different clustering, density, and average path length.
For more information consult research articles by Amiyaal Ilany and Erol Akcay (2016) <doi:10.1093/icb/icw068> and Ilany and Erol Akcay (2016) <doi:10.1101/026120>, which have inspired many methods in this package.

Marco Smolla

complexNet

Complex Network Generation

init_graph function

<dl><dt>n</dt>
<dd>Number of nodes in the network</dd>
<dt>deg</dt>
<dd>Average degree in the network</dd></dl>

Arguments

Initialising a random graph — init_graph

<dl>

<dt>n</dt>
<dd>Number of nodes in the network</dd>


<dt>deg</dt>
<dd>Average degree in the network</dd>

</dl>

init_graph: Initialising a random graph

Description

Usage

Value

Arguments

Examples