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Legacy Ego Network Visualization

Source: R/ggplotting.R
ego.plot.Rd

Deprecated. Use plot_ego_ggraph instead. This function will be removed in moneca 1.2.0.

Usage

ego.plot(
  segments,
  mxa.b,
  id = 1,
  lay = NULL,
  edge.size = 0.8,
  border.padding = 1,
  title.line = TRUE,
  vertex.size = "totals",
  small.cell.reduction = 5,
  edge.weight = "discrete",
  color.scheme = "RdPu",
  ...
)

Arguments

segments

A moneca object returned by moneca.

mxa.b

The original mobility matrix used in the moneca analysis.

id

Integer or character specifying the focal node (ego) for the analysis.

lay

Layout matrix for node positioning, typically from layout.matrix.

edge.size

Numeric value for edge thickness. Default is 0.8.

border.padding

Numeric value for segment boundary padding. Default is 1.

title.line

Logical indicating whether to add a title line. Default is TRUE.

vertex.size

Specification for vertex sizes. If "totals", sizes are derived from row/column totals in the mobility matrix. Otherwise, uses the specified values.

small.cell.reduction

Numeric threshold below which vertices receive different shapes to indicate low mobility volumes. Default is 5.

edge.weight

Character string specifying edge weight display. "discrete" creates categorical edge weights, otherwise uses continuous weights.

color.scheme

Character string specifying the RColorBrewer color scheme for the visualization. Default is "RdPu".

...

Additional arguments passed to gg.moneca.

Value

A ggplot2 object showing the ego network.

Details

Creates ego network plots showing mobility patterns from a single focal position using the legacy ggplot2 plotting system. For modern ego network analysis, use plot_ego_ggraph.

This function creates a focused view of mobility patterns from a single position in the social structure. It highlights both incoming and outgoing mobility flows and uses different visual elements to represent:

  • Edge colors/weights for relative risk levels

  • Node sizes for total mobility volumes

  • Node shapes for positions with low mobility

  • Node colors for mobility share proportions

Note: This function is maintained for backward compatibility. For new analyses, consider using plot_ego_ggraph which offers better performance and more modern styling options.

See also

plot_ego_ggraph for modern ego network visualization, gg.moneca for the underlying plotting function

Examples

if (FALSE) { # \dontrun{
# Using synthetic data
mobility_data <- generate_mobility_data(n_classes = 6, seed = 123)
seg <- moneca(mobility_data, segment.levels = 2)
ego.plot(seg, mobility_data, id = 2)

# Customized ego plot
ego.plot(seg, mobility_data,
         id = 3,
         edge.size = 1.2,
         color.scheme = "Blues",
         small.cell.reduction = 10)
} # }