split {manynet}

Splitting networks into lists

Description

These functions offer tools for splitting manynet-consistent objects (matrices, igraph, tidygraph, or network objects) into lists of networks.

Not all functions have methods available for all object classes. Below are the currently implemented S3 methods:

	data.frame	diff_model	igraph	matrix	network	tbl_graph
to_components	1	0	1	1	1	1
to_egos	1	0	1	1	1	1
to_slices	0	0	1	0	0	1
to_subgraphs	0	0	1	0	1	1
to_waves	1	1	1	0	0	1

Usage

to_egos(.data, max_dist = 1, min_dist = 0)

to_subgraphs(.data, attribute)

to_components(.data)

to_waves(.data, attribute = "wave", panels = NULL, cumulative = FALSE)

to_slices(.data, attribute = "time", slice = NULL)

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

max_dist

The maximum breadth of the neighbourhood. By default 1.

min_dist

The minimum breadth of the neighbourhood. By default 0. Increasing this to 1 excludes the ego, and 2 excludes ego's direct alters.

attribute

One or two attributes used to slice data.

panels

Would you like to select certain waves? NULL by default. That is, a list of networks for every available wave is returned. Users can also list specific waves they want to select.

cumulative

Whether to make wave ties cumulative. FALSE by default. That is, each wave is treated isolated.

slice

Character string or character list indicating the date(s) or integer(s) range used to slice data (e.g slice = c(1:2, 3:4)).

Value

The returned object will be a list of network objects.

Functions

• to_egos(): Returns a list of ego (or focal) networks.

• to_subgraphs(): Returns a list of subgraphs on some given node attribute.

• to_components(): Returns a list of the components in a network.

• to_waves(): Returns a network with some discrete observations over time into a list of those observations.

• to_slices(): Returns a list of a network with some continuous time variable at some time slice(s).

See Also

Other modifications: add_nodes(), add_ties(), as(), correlation, from, miss, reformat, to_levels, to_paths, to_project, to_scope

Examples

  to_egos(ison_adolescents)
  #autographs(to_egos(ison_adolescents,2))
ison_adolescents %>%
  mutate(unicorn = sample(c("yes", "no"), 8,
                          replace = TRUE)) %>%
  to_subgraphs(attribute = "unicorn")
  to_components(ison_marvel_relationships)
ison_adolescents %>%
  mutate_ties(wave = sample(1995:1998, 10, replace = TRUE)) %>%
  to_waves(attribute = "wave")
ison_adolescents %>%
  mutate_ties(time = 1:10, increment = 1) %>% 
  add_ties(c(1,2), list(time = 3, increment = -1)) %>% 
  to_slices(slice = 7)