make_DD

Makes a network according to the Duplication and Divergence mechanism.

Infer system functioning with empirical NETwork COMparisons. These methods are part of a growing paradigm in network science that uses relative comparisons of networks to infer mechanistic classifications and predict systemic interventions. They have been developed and applied in Langendorf and Burgess (2021) <doi:10.1038/s41598-021-99251-7>, Langendorf (2020) <doi:10.1201/9781351190831-6>, and Langendorf and Goldberg (2019) <arXiv:1912.12551>.

Ryan Langendorf

netcom

NETwork COMparison Inference

Debra Goldberg

Matthew Burgess

make_DD function

<dl><dt>size</dt>
<dd>Number of nodes in the network.</dd>
<dt>net_kind</dt>
<dd>If the network is an adjacency matrix ("matrix") or an edge list ("list").</dd>
<dt>divergence</dt>
<dd>Probability that the new node loses edges associated with the node it duplicates. Needs to be between zero and one.</dd>
<dt>directed</dt>
<dd>Whether the target network is directed. Defaults to TRUE.</dd></dl>

Arguments

Makes a Duplication and Divergence Network — make_DD

<dl>

<dt>size</dt>
<dd>Number of nodes in the network.</dd>


<dt>net_kind</dt>
<dd>If the network is an adjacency matrix ("matrix") or an edge list ("list").</dd>


<dt>divergence</dt>
<dd>Probability that the new node loses edges associated with the node it duplicates. Needs to be between zero and one.</dd>


<dt>directed</dt>
<dd>Whether the target network is directed. Defaults to TRUE.</dd>

</dl>

make_DD: Makes a Duplication and Divergence Network

Description

Usage

Value

Arguments

Details

References

Examples