View source: R/plotThematicEvolution.R
plotThematicEvolution | R Documentation |
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
)
Nodes |
is a list of nodes obtained by |
Edges |
is a list of edges obtained by |
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'. |
A 'visNetwork' object displaying a time-structured thematic evolution network.
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.
## 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)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.