plotThematicEvolution: Plot a Thematic Evolution Analysis

In massimoaria/bibliometrix: Comprehensive Science Mapping Analysis

Plot a Thematic Evolution Analysis

Description

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

Usage

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

Arguments

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.

Value

a sankeyPlot

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

## 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)

massimoaria/bibliometrix documentation built on Dec. 12, 2024, 12:47 p.m.