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Create ego-centric layouts for ego networks

Source: R/ego_layout_functions.R
ego_layouts.Rd

These functions create specialized layouts for ego networks that place the ego at the center and arrange alters in meaningful ways around it.

Usage

create_hierarchical_ego_layout(
  netlet,
  min_radius = 2,
  max_radius = 5,
  seed = 123
)

create_radial_ego_layout(
  netlet,
  ego_name = NULL,
  n_rings = 4,
  min_radius = 1.5,
  max_radius = 5,
  seed = 123
)

create_ego_centric_layout(
  netlet,
  buffer_radius = 1.5,
  transition_zone = 0.5,
  seed = 123
)

Arguments

netlet

A netify object created with ego_netify()

min_radius

Minimum distance from ego to any alter

max_radius

Maximum distance from ego to any alter

seed

Random seed for reproducible layouts

ego_name

Name of the ego node (extracted from netlet attributes if not provided)

n_rings

Number of concentric rings for radial layout

buffer_radius

Minimum distance from ego for ego_centric layout

transition_zone

Smooth transition zone width for ego_centric layout

Value

A list of data frames with x,y coordinates for each time period

Details

Three layout algorithms are provided:

Hierarchical Layout: Places ego at center and arranges alters in concentric circles based on their network centrality. More central alters are placed closer to the ego.

Radial Layout: Places ego at center and arranges alters in concentric rings based on connection strength quartiles. Stronger connections are placed in inner rings.

Ego Centric Layout: Uses force-directed layout but ensures ego remains at center with a buffer zone. Preserves natural clustering while maintaining ego visibility.

Examples

if (FALSE) { # \dontrun{
# Create ego network
ego_net <- ego_netify(my_network, ego = "Pakistan")

# Hierarchical layout
layout <- create_hierarchical_ego_layout(ego_net)
plot(ego_net, point_layout = layout)

# Radial layout with custom rings
layout <- create_radial_ego_layout(ego_net, n_rings = 5)
plot(ego_net, point_layout = layout)
} # }