bibliometrix (version 4.3.3)

plotThematicEvolution: Plot Thematic Evolution Network

Description

Visualizes the thematic evolution of clusters over time using a temporal network layout. Nodes are positioned along the x-axis according to time slices and vertically to minimize overlap. Edges represent links between themes across time periods, with customizable weights and styles. Nodes and Edges objects are the results of a Thematic Evolution Analysis performed using the thematicEvolution function.

Usage

plotThematicEvolution(
  Nodes,
  Edges,
  min.flow = 0,
  measure = "weighted",
  node_shape = "box",
  label_size = 5,
  edge_scale = 10,
  node_scale = 30
)

Value

A `visNetwork` object displaying a time-structured thematic evolution network.

Arguments

Nodes

is a list of nodes obtained by thematicEvolution function.

Edges

is a list of edges obtained by thematicEvolution function.

min.flow

Numeric. Minimum threshold for edge weight (i.e., flow) to be included in the network visualization. Default is `0`.

measure

Character. The method to define edge weight: `"inclusion"`, `"stability"`, or `"weighted"` (default is `"weighted"`).

node_shape

Character. Shape of the nodes in the network. Options are `"dot"` (default), `"box"`, `"circle"`, or `"ellipse"`.

label_size

Numeric. Font size of the node labels. Default is `15`.

edge_scale

Numeric. Scaling factor for edge width. Default is `10`.

node_scale

Numeric. Scaling factor for node size. Default is `30`.

See Also

thematicMap function to create a thematic map based on co-word network analysis and clustering.

thematicMap function to perform a thematic evolution analysis.

networkPlot to plot a bibliographic network.

Examples

if (FALSE) {
data(managemeent, package = "bibliometrixData")
years=c(2004,2015)

nexus <- thematicEvolution(management,field="ID",years=years,n=100,minFreq=2)

plotThematicEvolution(nexus$Nodes,nexus$Edges)
}