plotThematicEvolution function

Plot Thematic Evolution Network

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.

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

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.

Returns

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

Examples

## Not run:

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

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

plotThematicEvolution(nexus$Nodes,nexus$Edges)
## End(Not run)

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.