spanningTreeSensitivity: Spanning tree sensitivity measures
In QuACN: QuACN: Quantitative Analysis of Complex Networks
Description
Usage
Arguments
Details
Value
Author(s)
References
Examples
View source: R/spanningTreeSensitivity.R
Description
This method calculates two spanning tree sensitivity
measures.
Usage
1
spanningTreeSensitivity(g, one.eds = NULL)
Arguments
g
a graph as a graphNEL object.
one.eds
the one-edge-deleted subgraphs of g as a list of adjacency matrices, as
returned by edgeDeletedSubgraphs(g). If this parameter is omitted, the
subgraphs will be calculated automatically.
Details
This method calculates the spanning tree sensitivity (STS) and the
spanning tree sensitivity differences (STSD) measures.
Value
The results are returned in a list with two entries named STS and
STSD.
Author(s)
Lavanya Sivakumar, Michael Schutte
References
J. Kim and T. Wilhelm. What is a complex graph? Physica A,
387:2637-2652, 2008
Examples
1
2
3
4
5
6
7
library(graph)
set.seed(123)
g <- randomEGraph(as.character(1:12), 0.5)
result <- spanningTreeSensitivity(g)
result$STS
result$STSD
QuACN documentation built on May 2, 2019, 8:18 a.m.
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Description Usage Arguments Details Value Author(s) References Examples
View source: R/spanningTreeSensitivity.R
Description
This method calculates two spanning tree sensitivity measures.
Usage
1 | spanningTreeSensitivity(g, one.eds = NULL)
|
Arguments
g |
a graph as a graphNEL object. |
one.eds |
the one-edge-deleted subgraphs of g as a list of adjacency matrices, as returned by edgeDeletedSubgraphs(g). If this parameter is omitted, the subgraphs will be calculated automatically. |
Details
This method calculates the spanning tree sensitivity (STS) and the spanning tree sensitivity differences (STSD) measures.
Value
The results are returned in a list with two entries named STS and STSD.
Author(s)
Lavanya Sivakumar, Michael Schutte
References
J. Kim and T. Wilhelm. What is a complex graph? Physica A, 387:2637-2652, 2008
Examples
1 2 3 4 5 6 7 | library(graph)
set.seed(123)
g <- randomEGraph(as.character(1:12), 0.5)
result <- spanningTreeSensitivity(g)
result$STS
result$STSD
|
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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