community.layer_aggregation: Layer aggregation based community detection algorithm

In Issamfalih/MUNA: MUNA: A Multiplex Network Analysis Library

Description

This method applies the binary layer aggregation approaches. Then a classical community detection algorithm (one of igraph provided algorithms) can be applied to the resulting monoplex network.

Usage

community.layer_aggregation(multiplex, flatten_method, community_algorithm)

Arguments

multiplex	: The multiplex object.
flatten_method	: flaten a multiplex network into a simple monoplex network method
community_algorithm	: String, the name of classical community detection algorithm. As Licod, Louvain, Infomap, Walktrap,...

Value

returns an igraph communities object, please see igraph manual page for details.

Author(s)

Issam Falih <[e-mail]> Rushed Kanawati <[e-mail]>

Examples

M <- Multiplex_Lazega
community.layer_aggregation (M, flatten_binary, cluster_louvain)
community.layer_aggregation (M, flatten_redundancy,cluster_louvain)
community.layer_aggregation(M, flatten_binary, cluster_infomap)
community.layer_aggregation(M, flatten_binary, cluster_louvain)
community.layer_aggregation(M, flatten_binary, cluster_walktrap)
community.layer_aggregation(M, flatten_binary, cluster_edge_betweenness)
community.layer_aggregation(M, flatten_binary, cluster_label_prop)

Issamfalih/MUNA documentation built on May 8, 2019, 11:52 a.m.