to_scope {manynet} | R Documentation |
Modifying networks scope
Description
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_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_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.
Usage
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:
|
... |
Arguments passed on to dplyr::filter |
membership |
A vector of partition memberships. |
FUN |
A function for summarising block content.
By default |
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 | 1 | 1 | 0 | 1 | 1 | 1 |
to_giant | 1 | 1 | 0 | 1 | 1 | 1 |
to_no_isolates | 1 | 1 | 1 | 1 | 1 | 1 |
to_subgraph | 1 | 1 | 0 | 1 | 1 | 1 |
Value
All to_
functions return an object of the same class as that provided.
So passing it an igraph object will return an igraph object
and passing it a network object will return a network object,
with certain modifications as outlined for each function.
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:
add_nodes()
,
add_ties()
,
as()
,
correlation
,
from
,
miss
,
reformat
,
split()
,
to_levels
,
to_paths
,
to_project
Examples
ison_adolescents %>%
mutate_ties(wave = sample(1995:1998, 10, replace = TRUE)) %>%
to_waves(attribute = "wave") %>%
to_no_isolates()