plotThematicEvolution: Plot a Thematic Evolution Analysis
In xiangtuochen/bibliometrixfullname: Comprehensive Science Mapping Analysis

Description Usage Arguments Value See Also Examples

It plot a Thematic Evolution Analysis performed using the thematicEvolution function.

1	plotThematicEvolution(Nodes, Edges, measure = "inclusion", min.flow = 0)

`Nodes`	is a list of nodes obtained by `thematicEvolution` function.
`Edges`	is a list of edges obtained by `thematicEvolution` function.
`measure`	is a character. It can be `measure=("inclusion","stability", "weighted")`.
`min.flow`	is numerical. It indicates the minimum value of measure to plot a flow.

a sankeyPlot

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.

data(scientometrics, package = "bibliometrixData")
years=c(2000)

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

#plotThematicEvolution(nexus$Nodes,nexus$Edges)