flatten_redundancy: Redundancy layer aggregation
In Issamfalih/MUNA: MUNA: A Multiplex Network Analysis Library
Description
Usage
Arguments
Value
Author(s)
Examples
Description
return a weighted graph two nodes are linked in the result graph if they are linked i one layer. The edge is weighted by the number of layers in which the two nodes are connected.
Usage
1
flatten_redundancy(multiplex, inv=FALSE)
Arguments
multiplex
: The multiplex object.
inv
: Logical, the weight is inverted if inv is TRUE. By default, inv is FALSE
Value
A new weighted igraph graph.
Author(s)
Issam Falih <issam.falih@lipn.univ-paris13.fr>
Examples
1
2
3
M <- Multiplex_Lazega
g <- flatten_redundancy(M)
summary(g)
Issamfalih/MUNA documentation built on May 8, 2019, 11:52 a.m.
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Description Usage Arguments Value Author(s) Examples
Description
return a weighted graph two nodes are linked in the result graph if they are linked i one layer. The edge is weighted by the number of layers in which the two nodes are connected.
Usage
1 | flatten_redundancy(multiplex, inv=FALSE)
|
Arguments
multiplex |
: The multiplex object. |
inv |
: Logical, the weight is inverted if inv is TRUE. By default, inv is FALSE |
Value
A new weighted igraph graph.
Author(s)
Issam Falih <issam.falih@lipn.univ-paris13.fr>
Examples
1 2 3 | M <- Multiplex_Lazega
g <- flatten_redundancy(M)
summary(g)
|
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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