compute_caa_ra: Compute the CAA or CAA score of two nodes
In galanisl/LinkPrediction: Link prediction in complex networks
Description
Usage
Arguments
Value
Author(s)
References
View source: R/link_predictors.R
Description
Given two indices representing two nodes and a list of neighbourhoods,
compute the CAA or CRA index for the node pair. This function is used by
lp_caa and lp_cra.
Usage
1
compute_caa_ra(ne, i, j, type = "CAA")
Arguments
ne
list; The neighbourhood of all nodes from a network of interest.
i
integer; The ID of a network node.
j
integer; The ID of a network node.
type
character; One of "CAA" or "CRA".
Value
The CAA or CRA likelihood score of interaction for the node pair i-j.
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
galanisl/LinkPrediction documentation built on May 17, 2019, 12:10 p.m.
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Description Usage Arguments Value Author(s) References
View source: R/link_predictors.R
Description
Given two indices representing two nodes and a list of neighbourhoods,
compute the CAA or CRA index for the node pair. This function is used by
lp_caa and lp_cra.
Usage
1 | compute_caa_ra(ne, i, j, type = "CAA")
|
Arguments
ne |
list; The neighbourhood of all nodes from a network of interest. |
i |
integer; The ID of a network node. |
j |
integer; The ID of a network node. |
type |
character; One of "CAA" or "CRA". |
Value
The CAA or CRA likelihood score of interaction for the node pair i-j.
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
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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