community.muxLicod: MuxLicod community detection algorithm
In Issamfalih/MUNA: MUNA: A Multiplex Network Analysis Library
Description
Usage
Arguments
Value
Author(s)
References
Description
This applies the MuxLicod algorithm as described in EGC 2015 (I.Falih, M.Hmimida, and R.Kanawati)
Usage
1
community.muxLicod(multiplex,sigma,centrality1,centrality2,delta,vote_fun,sim_fun,memb_fun,verbose)
Arguments
multiplex
: The input multiplex network
sigma
: is a threshold in [0; 1]. It is used to know if a node is a leader.
centrality1
: is a topological centrality in graphs as degree, closeness, betweenness...
centrality2
: is a topological centrality in graphs as degree, closeness, betweenness...
delta
: is a threshold in [0; 1]. Two leaders are linked if their topological similarity is above delta.
vote_fun
: The vote function that should be used to compute the membership vector.
sim_fun
: is the similarity function. i.e similarity.invlogweighted, similarity.jaccard, similarity.dice,...
memb_fun
: is the membership function i.e mean, sum, ...
verbose
: verbose
Value
returns an igraph communities object, please see igraph manual page for details.
Author(s)
Issam Falih <issam.falih@lipn.univ-paris13.fr>
References
Issam Falih, Manel Hmimida, Rushed Kanawati, Une approache centr\'ee graine pour la d\'etection de communaut\'es dans les r\'eseaux multiplexes. Conf\'erence francophone sur l'Extraction et la Gestion de Connaissance (EGC'15), 27-30 Jan. 2015 Luxembourg.
#' @examples
M <- Multiplex_CKM_Physicians_Innovation
community.muxLicod(M)
Issamfalih/MUNA documentation built on May 8, 2019, 11:52 a.m.
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Description Usage Arguments Value Author(s) References
Description
This applies the MuxLicod algorithm as described in EGC 2015 (I.Falih, M.Hmimida, and R.Kanawati)
Usage
1 | community.muxLicod(multiplex,sigma,centrality1,centrality2,delta,vote_fun,sim_fun,memb_fun,verbose)
|
Arguments
multiplex |
: The input multiplex network |
sigma |
: is a threshold in [0; 1]. It is used to know if a node is a leader. |
centrality1 |
: is a topological centrality in graphs as degree, closeness, betweenness... |
centrality2 |
: is a topological centrality in graphs as degree, closeness, betweenness... |
delta |
: is a threshold in [0; 1]. Two leaders are linked if their topological similarity is above delta. |
vote_fun |
: The vote function that should be used to compute the membership vector. |
sim_fun |
: is the similarity function. i.e similarity.invlogweighted, similarity.jaccard, similarity.dice,... |
memb_fun |
: is the membership function i.e mean, sum, ... |
verbose |
: verbose |
Value
returns an igraph communities object, please see igraph manual page for details.
Author(s)
Issam Falih <issam.falih@lipn.univ-paris13.fr>
References
Issam Falih, Manel Hmimida, Rushed Kanawati, Une approache centr\'ee graine pour la d\'etection de communaut\'es dans les r\'eseaux multiplexes. Conf\'erence francophone sur l'Extraction et la Gestion de Connaissance (EGC'15), 27-30 Jan. 2015 Luxembourg. #' @examples M <- Multiplex_CKM_Physicians_Innovation community.muxLicod(M)
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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