measures: Abstracting Characteristics on Network Structure
In BASiNET: Classification of RNA Sequences using Complex Network Theory
measures R Documentation
Abstracting Characteristics on Network Structure
Description
Given a graph, it is made up of several features on the graph structure and returns a vector with the data obtained
Usage
measures(graph)
Arguments
graph
The complex network that will be measured
Value
Return a vector with the results of the measurements in order:
Average shortest path length, clustering Coefficient, degree, assortativity,
betweenness, standard deviation, maximum, minimum, number of motifs
size 3 and number of motifs of size 4
Author(s)
Eric Augusto Ito
BASiNET documentation built on Aug. 19, 2022, 9:07 a.m.
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| measures | R Documentation |
Abstracting Characteristics on Network Structure
Description
Given a graph, it is made up of several features on the graph structure and returns a vector with the data obtained
Usage
measures(graph)
Arguments
graph |
The complex network that will be measured |
Value
Return a vector with the results of the measurements in order: Average shortest path length, clustering Coefficient, degree, assortativity, betweenness, standard deviation, maximum, minimum, number of motifs size 3 and number of motifs of size 4
Author(s)
Eric Augusto Ito
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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