These functions combine an appropriate node_by_*() function
together with methods for calculating the hierarchical clusters
provided by a certain distance calculation.
node_in_equivalence() assigns nodes membership based on their equivalence
with respective to some census/class.
The following functions call this function, together with an appropriate census.
node_in_structural() assigns nodes membership based on their
having equivalent ties to the same other nodes.
node_in_regular() assigns nodes membership based on their
having equivalent patterns of ties.
node_in_automorphic() assigns nodes membership based on their
having equivalent distances to other nodes.
A plot() method exists for investigating the dendrogram
of the hierarchical cluster and showing the returned cluster
assignment.
node_in_equivalence(
.data,
census,
k = c("silhouette", "elbow", "strict"),
cluster = c("hierarchical", "concor", "cosine"),
distance = c("euclidean", "maximum", "manhattan", "canberra", "binary", "minkowski"),
range = 8L
)
node_in_structural(
.data,
k = c("silhouette", "elbow", "strict"),
cluster = c("hierarchical", "concor", "cosine"),
distance = c("euclidean", "maximum", "manhattan", "canberra", "binary", "minkowski"),
range = 8L
)
node_in_regular(
.data,
k = c("silhouette", "elbow", "strict"),
cluster = c("hierarchical", "concor", "cosine"),
distance = c("euclidean", "maximum", "manhattan", "canberra", "binary", "minkowski"),
range = 8L
)
node_in_automorphic(
.data,
k = c("silhouette", "elbow", "strict"),
cluster = c("hierarchical", "concor", "cosine"),
distance = c("euclidean", "maximum", "manhattan", "canberra", "binary", "minkowski"),
range = 8L
)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
A matrix returned by a node_by_*() function.
Typically a character string indicating which method
should be used to select the number of clusters to return.
By default "silhouette", other options include "elbow" and "strict".
"strict" returns classes with members only when strictly equivalent.
"silhouette" and "elbow" select classes based on the distance between
clusters or between nodes within a cluster.
Fewer, identifiable letters, e.g. "e" for elbow, is sufficient.
Alternatively, if k is passed an integer, e.g. k = 3,
then all selection routines are skipped in favour of this number of clusters.
Character string indicating whether clusters should be
clustered hierarchically ("hierarchical") or
through convergence of correlations ("concor").
Fewer, identifiable letters, e.g. "c" for CONCOR, is sufficient.
Character string indicating which distance metric
to pass on to stats::dist.
By default "euclidean", but other options include
"maximum", "manhattan", "canberra", "binary", and "minkowski".
Fewer, identifiable letters, e.g. "e" for Euclidean, is sufficient.
Integer indicating the maximum number of (k) clusters
to evaluate.
Ignored when k = "strict" or a discrete number is given for k.
Other memberships:
mark_core,
member_brokerage,
member_cliques,
member_community_hier,
member_community_non,
member_components
(nse <- node_in_structural(ison_algebra))
#> 4 groups
#> V1 V2 V3 V4 V5 V6 V7 V8 V9 V10 V11 V12 V13
#> 1 A B C A C C B B A A C A B
#> # ... with 3 more values from this nodeset unprinted. Use `print(..., n = Inf)` to print all values.
(nre <- node_in_regular(ison_southern_women,
cluster = "concor"))
#> 8 groups
#> Evelyn Laura Theresa Brenda Charlotte Frances Eleanor Pearl Ruth Verne Myra
#> 1 A B A B C C D D D D C
#> # ... with 7 more values from this nodeset unprinted. Use `print(..., n = Inf)` to print all values.
#> E1 E2 E3 E4 E5 E6 E7 E8 E9 E10 E11 E12 E13
#> 1 E E F E F F G H G E E F E
#> # ... with 1 more values from this nodeset unprinted. Use `print(..., n = Inf)` to print all values.
if(require("sna", quietly = TRUE)){
(nae <- node_in_automorphic(ison_southern_women,
k = "elbow"))
}
#>
#> Attaching package: ‘statnet.common’
#> The following objects are masked from ‘package:base’:
#>
#> attr, order, replace
#>
#> ‘network’ 1.19.0 (2024-12-08), part of the Statnet Project
#> * ‘news(package="network")’ for changes since last version
#> * ‘citation("network")’ for citation information
#> * ‘https://statnet.org’ for help, support, and other information
#> sna: Tools for Social Network Analysis
#> Version 2.8 created on 2024-09-07.
#> copyright (c) 2005, Carter T. Butts, University of California-Irvine
#> For citation information, type citation("sna").
#> Type help(package="sna") to get started.
#> 5 groups
#> Evelyn Laura Theresa Brenda Charlotte Frances Eleanor Pearl Ruth Verne Myra
#> 1 A A A A A B B C C C D
#> # ... with 7 more values from this nodeset unprinted. Use `print(..., n = Inf)` to print all values.
#> E1 E2 E3 E4 E5 E6 E7 E8 E9 E10 E11 E12 E13
#> 1 A A A A A B B B E D D D D
#> # ... with 1 more values from this nodeset unprinted. Use `print(..., n = Inf)` to print all values.