bibliometrix (version 2.0.2)

thematicEvolution: Perform a Thematic Evolution Analysis

Description

It performs a Thematic Evolution Analysis based on co-word network analysis and clustering. The methodology is inspired by the proposal of Cobo et al. (2011).

Usage

thematicEvolution(M, years, n = 250, minFreq = 2)

Arguments

M

is a bibliographic data frame obtained by the converting function convert2df.

years

is a numeric vector of two or more unique cut points.

n

is numerical. It indicates the number of words to use in the network analysis

minFreq

is numerical. It indicates the min frequency of words included in to a cluster.

Value

a list containing:

nets

The thematic nexus graph for each comparison

Details

thematicEvolution starts from two or more thematic maps created by thematicMap function.

See Also

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

cocMatrix to compute a bibliographic bipartite network.

networkPlot to plot a bibliographic network.

Examples

# NOT RUN {
data(scientometrics)
years=c(2000)

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

# }