measure_properties function

Describing network properties

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)

Arguments

• .data: An object of a manynet-consistent class:

  • matrix (adjacency or incidence) from {base} R
  • edgelist, a data frame from {base} R or tibble from {tibble}
  • igraph, from the {igraph} package
  • network, from the {network} package
  • tbl_graph, from the {tidygraph} package

Returns

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.

Examples

net_nodes(ison_southern_women)
net_ties(ison_southern_women)
net_dims(ison_southern_women)
net_dims(to_mode1(ison_southern_women))
  net_node_attributes(fict_lotr)
  net_tie_attributes(ison_algebra)

See Also

Other measures: measure_attributes, measure_central_between, measure_central_close, measure_central_degree, measure_central_eigen, measure_closure, measure_cohesion, measure_diffusion_infection, measure_diffusion_net, measure_diffusion_node, measure_features, measure_heterogeneity, measure_hierarchy, measure_holes, measure_periods, member_diffusion