lp_cra: Link prediction with CRA
In galanisl/LinkPrediction: Link prediction in complex networks
Description
Usage
Arguments
Value
Author(s)
References
Examples
View source: R/link_predictors.R
Description
Given a network of interest, it computes the likelihood score of interaction,
for all disconnected node pairs, with CAR-based Resource Allocation (CRA).
Usage
1
lp_cra(g)
Arguments
g
igraph; The network of interest.
Value
Tibble with the following columns:
nodeA
The ID of a network node.
nodeB
The ID of a network node.
scr
The likelihood score of interaction for the node pair.
Author(s)
Gregorio Alanis-Lobato galanisl@uni-mainz.de
References
Cannistraci, C. V. et al. (2013) From link-prediction in brain
connectomes and protein interactomes to the local-community-paradigm in
complex networks. Sci. Rep. 3:1613
Examples
1
2
# Apply the CRA link predictor to the Zachary Karate Club network
cra <- lp_cra(g = karate_club)
galanisl/LinkPrediction documentation built on May 17, 2019, 12:10 p.m.
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Description Usage Arguments Value Author(s) References Examples
View source: R/link_predictors.R
Description
Given a network of interest, it computes the likelihood score of interaction, for all disconnected node pairs, with CAR-based Resource Allocation (CRA).
Usage
1 | lp_cra(g)
|
Arguments
g |
igraph; The network of interest. |
Value
Tibble with the following columns:
nodeA |
The ID of a network node. |
nodeB |
The ID of a network node. |
scr |
The likelihood score of interaction for the node pair. |
Author(s)
Gregorio Alanis-Lobato galanisl@uni-mainz.de
References
Cannistraci, C. V. et al. (2013) From link-prediction in brain connectomes and protein interactomes to the local-community-paradigm in complex networks. Sci. Rep. 3:1613
Examples
1 2 | # Apply the CRA link predictor to the Zachary Karate Club network
cra <- lp_cra(g = karate_club)
|
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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