metric.distance.meanecc: Mean Eccentricity
In networkgroupR/fastnet: Large-Scale Social Network Analysis
Description
Usage
Arguments
Details
Value
Author(s)
References
Examples
Description
Calculate the mean eccentricity of a graph.
Usage
1
metric.distance.meanecc(g, p)
Arguments
g
The input network.
p
The sampling probability.
Details
The mean eccentricities of all nodes in graph g. Calculates the (estimated) mean eccentricity of graph g with a justified error.
Value
A real constant.
Author(s)
Xu Dong, Nazrul Shaikh.
References
West, Douglas Brent. Introduction to graph theory. Vol. 2. Upper Saddle River: Prentice Hall, 2001.
Examples
1
2
3
4
## Not run:
x <- net.erdos.renyi.gnp(1000, 0.01)
metric.distance.meanecc(x, 0.01)
## End(Not run)
networkgroupR/fastnet documentation built on May 23, 2019, 1:32 p.m.
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Description Usage Arguments Details Value Author(s) References Examples
Description
Calculate the mean eccentricity of a graph.
Usage
1 | metric.distance.meanecc(g, p)
|
Arguments
g |
The input network. |
p |
The sampling probability. |
Details
The mean eccentricities of all nodes in graph g. Calculates the (estimated) mean eccentricity of graph g with a justified error.
Value
A real constant.
Author(s)
Xu Dong, Nazrul Shaikh.
References
West, Douglas Brent. Introduction to graph theory. Vol. 2. Upper Saddle River: Prentice Hall, 2001.
Examples
1 2 3 4 | ## Not run:
x <- net.erdos.renyi.gnp(1000, 0.01)
metric.distance.meanecc(x, 0.01)
## 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.
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