Analyze Network Structure from Transitions Data

Analyzes the network structure of employment transitions to provide insights about connectivity, centrality, and community structure. Useful for understanding employment flow patterns and identifying key states.

Usage

analyze_transitions_network(
  transitions_data,
  input_format = "data.table",
  min_edge_weight = 1,
  directed = TRUE,
  compute_communities = TRUE,
  return_tidygraph = FALSE,
  consolidation_mode = "temporal",
  consolidation_type = "both",
  transition_variable = "prior"
)

Arguments

transitions_data

Data.table output from analyze_employment_transitions()

input_format

Character. Format of input data: "data.table" or "matrix" (default: "data.table")

min_edge_weight

Numeric. Minimum edge weight to include (default: 1)

directed

Logical. Treat as directed network (default: TRUE)

compute_communities

Logical. Compute community structure (default: TRUE)

return_tidygraph

Logical. Return tidygraph object instead of summary (default: FALSE)

consolidation_mode

Character. Consolidation mode: "temporal", "employer", or "none" (default: "temporal")

consolidation_type

Character. Type of consolidation when consolidation_mode != "none" (default: "both")

transition_variable

Character. Variable for transitions (default: "prior")

Value

List with network analysis results or tidygraph object

Examples

if (FALSE) { # \dontrun{
# Analyze consolidated network structure (default)
network_analysis <- analyze_transitions_network(pipeline_result)
print(network_analysis)

# Get tidygraph object for further analysis with overlapping consolidation only
tg <- analyze_transitions_network(pipeline_result, return_tidygraph = TRUE,
                                 consolidation_type = "overlapping")

# Analyze pre-computed transitions without consolidation
transitions <- analyze_employment_transitions(pipeline_result, consolidation_mode = "none")
network_analysis_raw <- analyze_transitions_network(transitions, consolidation_mode = "none")
} # }