summarise_transition_centrality: Summarise transition-network centrality

In gp3sequences: Transparent Analysis of Ordered Categorical Sequences

Summarise transition-network centrality

Description

Summarise transition-network centrality

Usage

summarise_transition_centrality(
  network,
  directed = TRUE,
  pagerank_damping = 0.85,
  pagerank_tolerance = 1e-10,
  pagerank_max_iter = 1000L
)

Arguments

network	A first-order transition network.
directed	Treat the network as directed.
pagerank_damping	Damping factor for PageRank.
pagerank_tolerance	Convergence tolerance.
pagerank_max_iter	Maximum PageRank iterations.

Value

A data frame containing degree, strength, weighted closeness, unweighted betweenness, and PageRank centrality.

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)
summarise_transition_centrality(network)

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