Modifying networks scope

These functions offer tools for transforming manynet-consistent objects (matrices, igraph, tidygraph, or network objects). Transforming means that the returned object may have different dimensions than the original object.

• to_ego() scopes a network into the local neighbourhood of a given node.

• to_giant() scopes a network into one including only the main component and no smaller components or isolates.

• to_no_isolates() scopes a network into one excluding all nodes without ties.

• to_no_missing() scopes a network to one retaining only complete cases, i.e. nodes with no missing values.

• to_subgraph() scopes a network into a subgraph by filtering on some node-related logical statement.

• to_blocks() reduces a network to ties between a given partition membership vector.

to_no_missing(.data)

to_ego(.data, node, max_dist = 1, min_dist = 0, direction = c("out", "in"))

to_time(.data, time)

to_giant(.data)

to_no_isolates(.data)

to_subgraph(.data, ...)

to_blocks(.data, membership, FUN = mean)

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

node

Name or index of node.

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.

direction

Character string, “out” bases the measure on outgoing ties, “in” on incoming ties, and "all" on either/the sum of the two. By default "all".

time

A time point or wave at which to present the network.

...

Arguments passed on to dplyr::filter

membership

A vector of partition memberships.

FUN

A function for summarising block content. By default mean. Other recommended options include median, sum, min or max.

Value

A tidygraph object modified as explained in the function description, details, or section.

Details

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

               data.frame igraph list matrix network tbl_graph
to_blocks               *      *           *       *         *
to_ego                         *                             *
to_egos                 *      *           *       *         *
to_giant                *      *           *       *         *
to_no_isolates          *      *    *      *       *         *
to_no_missing                                                *
to_subgraph             *      *           *       *         *
to_subgraphs                   *                   *         *

to_blocks()

Reduced graphs provide summary representations of network structures by collapsing groups of connected nodes into single nodes while preserving the topology of the original structures.

See also

Other modifications: modif_correlation, modif_direction, modif_from, modif_labels, modif_levels, modif_miss, modif_paths, modif_permutation, modif_plexity, modif_project, modif_split, modif_weight

Examples

ison_adolescents |>
  mutate_ties(wave = sample(1995:1998, 10, replace = TRUE)) |>
  to_waves(attribute = "wave") |>
  to_no_isolates()
#> $`1995`
#> 
#> ── # The Adolescent Society ────────────────────────────────────────────────────
#> # A longitudinal, labelled, undirected network of 6 adolescents and 4
#> friendships ties over 1995 waves
#> 
#> ── Nodes 
#> # A tibble: 6 × 1
#>   name 
#>   <chr>
#> 1 Sue  
#> 2 Alice
#> 3 Dale 
#> 4 Pam  
#> 5 Carol
#> 6 Tina 
#> 
#> ── Ties 
#> # A tibble: 4 × 3
#>    from    to  wave
#>   <int> <int> <int>
#> 1     1     3  1995
#> 2     2     4  1995
#> 3     4     5  1995
#> 4     5     6  1995
#> 
#> 
#> $`1996`
#> ── # The Adolescent Society ────────────────────────────────────────────────────
#> # A longitudinal, labelled, undirected network of 6 adolescents and 5
#> friendships ties over 1996 waves
#> 
#> ── Nodes 
#> # A tibble: 6 × 1
#>   name 
#>   <chr>
#> 1 Betty
#> 2 Sue  
#> 3 Alice
#> 4 Jane 
#> 5 Dale 
#> 6 Pam  
#> 
#> ── Ties 
#> # A tibble: 5 × 3
#>    from    to  wave
#>   <int> <int> <int>
#> 1     1     2  1996
#> 2     3     4  1996
#> 3     3     5  1996
#> 4     4     5  1996
#> 5     2     6  1996
#> 
#> 
#> $`1998`
#> ── # The Adolescent Society ────────────────────────────────────────────────────
#> # A longitudinal, labelled, undirected network of 2 adolescents and 1
#> friendships ties over 1998 waves
#> 
#> ── Nodes 
#> # A tibble: 2 × 1
#>   name 
#>   <chr>
#> 1 Sue  
#> 2 Alice
#> 
#> ── Ties 
#> # A tibble: 1 × 3
#>    from    to  wave
#>   <int> <int> <int>
#> 1     1     2  1998
#> 
#>