These functions implement logical tests for various network properties.
All is_*() functions return a logical scalar (TRUE or FALSE).
is_twomode() marks networks TRUE if they contain two sets of nodes.
is_weighted() marks networks TRUE if they contain tie weights.
is_directed() marks networks TRUE if the ties specify which node
is the sender and which the receiver.
is_labelled() marks networks TRUE if there is a 'names' attribute
for the nodes.
is_signed() marks networks TRUE if the ties can be either positive
or negative.
is_complex() marks networks TRUE if any ties are loops,
with the sender and receiver being the same node.
is_multiplex() marks networks TRUE if it contains multiple types
of ties, such that there can be multiple ties between the same
sender and receiver.
is_uniplex() marks networks TRUE if it is neither complex nor multiplex.
is_twomode(.data)
is_weighted(.data)
is_directed(.data)
is_labelled(.data)
is_signed(.data)
is_complex(.data)
is_multiplex(.data)
is_uniplex(.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
is_twomode(create_filled(c(2,2)))
#> [1] TRUE
is_weighted(create_tree(3))
#> [1] FALSE
is_directed(create_tree(2))
#> [1] FALSE
is_directed(create_tree(2, directed = TRUE))
#> [1] TRUE
is_labelled(create_empty(3))
#> [1] FALSE
is_signed(create_lattice(3))
#> [1] FALSE
is_complex(create_lattice(4))
#> [1] FALSE
is_multiplex(create_filled(c(3,3)))
#> [1] FALSE
is_uniplex(create_star(3))
#> [1] TRUE