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Visualize 3D Technological Trajectories from Group Evolution

Source: R/plot_groups_lineage_3d.R
plot_groups_lineage_3d.Rd

Creates an interactive 3D visualization of technological trajectories showing the evolution of research groups over time with node size representing group importance and color representing publication year deviation.

Usage

plot_groups_lineage_3d(
  groups_lineage,
  group = "component1_g01",
  jaccard_similarity = 0.1,
  prop_tracked_intra_group_treshold = 0.2,
  label_type = "size",
  label_vertical_position = 0,
  label_horizontal_position = 0,
  label_angle = 0,
  time_span = NA,
  show_legend = TRUE,
  last_year_keywords = NULL,
  log_scale = FALSE
)

Arguments

groups_lineage

A list containing two components:

  • groups_similarity: Similarity data between groups

  • groups_attributes: Attribute data for each group

group

The specific group to visualize (default: "component1_g01")

jaccard_similarity

Minimum Jaccard similarity threshold for connections (default: 0.1)

prop_tracked_intra_group_treshold

Minimum proportion of tracked intra-group documents for nodes to be included (default: 0.2)

label_type

Type of labels to display on nodes ("size" for weighted size or "id" for group IDs)

label_vertical_position

Vertical adjustment for node labels (default: 0)

label_horizontal_position

Horizontal adjustment for node labels (default: 0)

label_angle

Angle for node labels (default: 0)

time_span

Optional vector specifying the time span to display (default: NA shows all years)

show_legend

Logical indicating whether to show the color legend (default: TRUE)

last_year_keywords

Optional keywords description for the last year (default: NULL)

log_scale

Whether to apply log transformation to the z-axis size values (default: FALSE). Uses log1p() (i.e., log(1 + x)) to compress large differences between node sizes.

Value

A plotly 3D visualization object

Details

A descriptive stock view of one group's lineage network. A group's lineage can share year communities with other groups (soft membership), so this view makes no trajectory claims – for detection see sniff_trajectory_braid().

See also

Other visualization: plot_groups_influence_matrix(), plot_groups_influence_network(), plot_groups_lineage_2d(), plot_groups_map(), plot_groups_map_animation(), plot_groups_map_interactive(), plot_groups_per_year(), plot_trajectory_confluence(), plot_trajectory_confluence_interactive(), plot_trajectory_confluence_matrix(), plot_trajectory_dag(), plot_trajectory_dag_interactive(), plot_trajectory_dispersion(), plot_trajectory_dynamics(), plot_trajectory_dynamics_interactive(), plot_trajectory_formation(), plot_trajectory_lines_2d(), plot_trajectory_lines_3d()

Examples

if (FALSE) { # \dontrun{
# First get trajectory data
traj_data <- sniff_groups_lineage(groups_cumulative)

# Visualize a specific group in 3D
plot_groups_lineage_3d(
  groups_lineage = traj_data,
  group = "component1_g05",
  jaccard_similarity = 0.2
)
} # }