metric.degree.entropy: Degree Entropy
In networkgroupR/fastnet: Large-Scale Social Network Analysis
Description
Usage
Arguments
Details
Value
Author(s)
References
Examples
Description
Calculate the degree entropy of a graph.
Usage
1
Arguments
g
The input network.
Details
Calculates the degree entropy of graph g, i.e.
Entropy(g) = - ∑_{i=1}^{n} i*\log _2(i)
Value
A real constant.
Author(s)
Xu Dong, Nazrul Shaikh.
References
Anand, Kartik, and Ginestra Bianconi. "Entropy measures for networks: Toward an information theory of complex topologies." Physical Review E 80, no. 4 (2009): 045102.
Examples
1
2
3
4
## Not run:
x <- net.erdos.renyi.gnp(1000, 0.01)
metric.degree.entropy(x)
## End(Not run)
networkgroupR/fastnet documentation built on May 23, 2019, 1:32 p.m.
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.
Description Usage Arguments Details Value Author(s) References Examples
Description
Calculate the degree entropy of a graph.
Usage
1 |
Arguments
g |
The input network. |
Details
Calculates the degree entropy of graph g, i.e.
Entropy(g) = - ∑_{i=1}^{n} i*\log _2(i)
Value
A real constant.
Author(s)
Xu Dong, Nazrul Shaikh.
References
Anand, Kartik, and Ginestra Bianconi. "Entropy measures for networks: Toward an information theory of complex topologies." Physical Review E 80, no. 4 (2009): 045102.
Examples
1 2 3 4 | ## Not run:
x <- net.erdos.renyi.gnp(1000, 0.01)
metric.degree.entropy(x)
## End(Not run)
|
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.