Description Usage Format Source References Examples
This multiplex social network consists of five kinds of online and offline relationships (Facebook, Leisure, Work, Co-authorship, Lunch) among 61 employees of the Computer Science Department at Aarhus.
The original dataset has been re-arranged into a list
object for an easily usage in the examples of the functions contained in this package.
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Data are organized into a list of 7 objects:
$nodes: a data.frame
object with the information about the employees (nodes) of the CS Aarhus Department.
$layerNames: a vector
with names of the 5 levels of the multiplex network.
$L1: a data.frame
object with the edges of the first relationship (lunch) considered.
$L2: a data.frame
object with the edges of the second relationship (facebook) considered.
$L3: a data.frame
object with the edges of the third relationship (coauthor) considered.
$L4: a data.frame
object with the edges of the fourth relationship (leisure) considered.
$L5: a data.frame
object with the edges of the fifth relationship (work) considered.
The original dataset is publicly available at http://deim.urv.cat/~manlio.dedomenico/data/CS-Aarhus_Multiplex_Social.zip. See Magnani et al. (2013) for further details.
Magnani, M. et al (2013), Combinatorial Analysis of Multiple Networks arXiv:1303.4986
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | data(aarhus_mplex)
# data.frame object with information about the employees of the network.
# We see, for example, that employee named 'U33' has number 3 as univoque ID.
head(aarhus_mplex$nodes)
# list object with characters describing the relationships taken into consideration
# in the multiplex network.
aarhus_mplex$layerNames
# data.frame object with edges for coautorship (third level) relationship.
# We see, for example, that employees with IDs 18 and 46 are linked into a coautorship
# relation in CS Aarhus Department.
head(aarhus_mplex$L3)
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