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Sistemati da roxygen2 durante il checking.
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Achab94 committed Jan 8, 2017
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15 changes: 11 additions & 4 deletions DESCRIPTION
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Expand Up @@ -4,10 +4,17 @@ Title: mplex
Version: 1.0
Date: 2017-01-07
Author: Emanuele Degani
Imports: igraph
Imports:
igraph
Maintainer: Emanuele Degani <[email protected]>
Description: This package allows to implement multiplex networks into the R framework. Multiplex networks are networks composed of a multiplicity of overlapping nets that
capture the different types of connection between nodes within the network, taking into account both relationships within a same layer and relationships between a same
node located in different layers of the overall network. Some of the most common descriptors, clustering indices and centrality measures can be calculated starting from a set of nodes and layers given in input by the user.
Description: This package allows to implement multiplex networks into the
R framework. Multiplex networks are networks composed of a multiplicity of
overlapping nets that capture the different types of connection between nodes
within the network, taking into account both relationships within a same layer
and relationships between a same node located in different layers of the overall
network. Some of the most common descriptors, clustering indices and centrality
measures can be calculated starting from a set of nodes and layers given in
input by the user.
License: GPL (>=2)
URL: https://github.com/Achab94/mplex
RoxygenNote: 5.0.1
36 changes: 1 addition & 35 deletions NAMESPACE
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@@ -1,36 +1,2 @@
# exportPattern("^[[:alpha:]]+")
# Generated by roxygen2: do not edit by hand

export(
"adjacency.multiplex",
"aggregatedOverlapping.multiplex",
"aggregatedTopological.multiplex",
"C1Global.multiplex",
"c1Local.multiplex",
"C2Global.multiplex",
"c2Local.multiplex",
"create.multiplex",
"degree.multiplex",
"degreeCentrality.multiplex",
"degreeDistribution.multiplex",
"densityLayers.multiplex",
"entropyDegree.multiplex",
"globalOverlayClustering.multiplex",
"heterEigenvectorCentrality.multiplex",
"interlayer.multiplex",
"layers.multiplex",
"localClustering.multiplex",
"meanDegree.multiplex",
"nodes.multiplex",
"participationDegree.multiplex",
"supraAdjacency.multiplex",
"supraEigenvectorCentrality.multiplex",
"totalDegree.multiplex",
"type.multiplex",
"varianceDegree.multiplex"
)

importFrom("igraph", degree)
importFrom("igraph", degree.distribution)
importFrom("igraph", graph.adjacency)
importFrom("igraph", graph.density)
importFrom("igraph", transitivity)

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