Plot Employment Complexity Using over_id — plot_employment

Creates network-style visualizations showing employment complexity patterns using over_id groupings. Visualizes how employment periods cluster together and the relationships between overlapping employment episodes.

Usage

plot_employment_complexity(
  pipeline_result,
  complexity_metric = "overlap_count",
  layout = "fr",
  node_size_range = c(2, 12),
  edge_width_range = c(0.3, 2),
  palette = "viridis",
  accessibility_mode = FALSE,
  show_labels = TRUE,
  title = NULL
)

Arguments

pipeline_result: Output from vecshift() with over_id column
complexity_metric: Character. Metric to use: "overlap_count", "duration_sum", "period_count" (default: "overlap_count")
layout: Character. Network layout algorithm (default: "fr")
node_size_range: Numeric vector. Size range for nodes (default: c(2, 12))
edge_width_range: Numeric vector. Width range for edges (default: c(0.3, 2))
palette: Character. Color palette (default: "viridis")
accessibility_mode: Logical. Use high contrast mode (default: FALSE)
show_labels: Logical. Show over_id labels (default: TRUE)
title: Character. Custom title (default: auto-generated)

Value

A ggplot2 network object showing employment complexity

Examples

if (FALSE) { # \dontrun{
# Basic complexity visualization
plot_employment_complexity(pipeline_result)

# Duration-based complexity with circular layout
plot_employment_complexity(pipeline_result, complexity_metric = "duration_sum", layout = "circle")
} # }