detect_transition_communities: Detect descriptive transition communities

In gp3sequences: Transparent Analysis of Ordered Categorical Sequences

Detect descriptive transition communities

Description

Detect descriptive transition communities

Usage

detect_transition_communities(
  network,
  method = c("label_propagation", "components"),
  max_iter = 100L,
  seed = 1L
)

Arguments

network	A first-order transition network.
method	"label_propagation" or "components".
max_iter	Maximum label-propagation iterations.
seed	Reproducibility seed used only to rotate update order.

Value

A data frame with states and deterministic community labels.

Examples

sequences <- data.frame(
  sequence_id = rep(c("s1", "s2", "s3", "s4"), each = 4L),
  sequence_order = rep(1:4, times = 4L),
  state = c("A", "B", "C", "D", "A", "B", "C", "C",
            "D", "C", "B", "A", "D", "C", "A", "A"),
  group = rep(c("g1", "g2"), each = 8L),
  stringsAsFactors = FALSE
)
network <- create_transition_network(sequences)
detect_transition_communities(network)

gp3sequences documentation built on Aug. 23, 2026, 5:10 p.m.