Convert an HTNA Network to igraph — as.igraph.htna • htna

Converts an htna network to an igraph::igraph object while preserving its node-to-actor partition. The actor type is stored as the vertex attribute actor_type, and the canonical actor ordering is stored as the graph attribute actor_levels.

Usage

# S3 method for class 'htna'
as.igraph(x, mode = NULL, weighted = TRUE, diag = TRUE, ...)

# S3 method for class 'htna_group'
as.igraph(x, mode = NULL, weighted = TRUE, diag = TRUE, ...)

Arguments

x: An htna network or htna_group.
mode: Character igraph adjacency mode. The default, NULL, uses "directed" when x$directed is true and "undirected" otherwise.
weighted: Passed to igraph::graph_from_adjacency_matrix(). Default TRUE.
diag: Include diagonal/self-loop entries? Default TRUE.
...: Additional arguments passed to igraph::graph_from_adjacency_matrix().

Value

An igraph object for an htna, or a named list of igraph objects inheriting from htna_igraph_group for an htna_group.

Details

Passing an htna_group converts every cohort and returns a named list. Each graph additionally stores its cohort name in the graph attribute cohort.

Examples

data(human_ai)
net <- build_htna(human_ai, actor_type = "actor_type")
#> Warning: A network with one long sequence is not recommended and can't be validated using bootstrap and other confirmatory testings.
#> Metadata aggregated per session: ties resolved by first occurrence in 'session_date' (1 sessions), 'cluster' (42 sessions), 'actor_type' (24 sessions)
graph <- igraph::as.igraph(net)
igraph::vertex_attr(graph, "actor_type")
#>  [1] "AI"    "Human" "AI"    "AI"    "Human" "Human" "AI"    "Human" "AI"   
#> [10] "AI"    "Human" "Human"