These functions extract certain attributes from given network data:
net_nodes()
returns the total number of nodes (of any mode) in a network.
net_ties()
returns the number of ties in a network.
net_dims()
returns the dimensions of a network in a vector
as long as the number of modes in the network.
net_node_attributes()
returns a vector of nodal attributes in a network.
net_tie_attributes()
returns a vector of tie attributes in a network.
These functions are also often used as helpers within other functions.
net_nodes(.data)
net_ties(.data)
net_dims(.data)
net_node_attributes(.data)
net_tie_attributes(.data)
net_*()
functions always relate to the overall graph or network,
usually returning a scalar.
net_dims()
returns an integer of the number of nodes in a one-mode network,
or two integers representing the number of nodes in each nodeset
in the case of a two-mode network.
net_*_attributes()
returns a string vector with the names
of all node or tie attributes in the network.
Other measures:
between_centrality
,
close_centrality
,
degree_centrality
,
eigenv_centrality
,
measure_attributes
,
measure_closure
,
measure_cohesion
,
measure_features
,
measure_heterogeneity
,
measure_hierarchy
,
measure_holes
,
measure_infection
,
measure_net_diffusion
,
measure_node_diffusion
,
measure_periods
,
member_diffusion
net_nodes(ison_southern_women)
#> [1] 32
net_ties(ison_southern_women)
#> [1] 89
net_dims(ison_southern_women)
#> [1] 18 14
net_dims(to_mode1(ison_southern_women))
#> [1] 18
net_node_attributes(ison_lotr)
#> [1] "name" "Race"
net_tie_attributes(ison_algebra)
#> [1] "type" "weight"