bibliometrix (version 2.0.2)

thematicMap: Create a thematic map

Description

It creates a thematic map based on co-word network analysis and clustering. The methodology is inspired by the proposal of Cobo et al. (2011).

Usage

thematicMap(Net, NetMatrix, S = NULL, minfreq = 5)

Arguments

Net

is a igraph object created by networkPlot function.

NetMatrix

is a co-occurence matrix obtained by the network functions biblioNetwork or cocMatrix.

S

is a similarity matrix obtained by the normalizeSimilarity function. If S is NULL, map is created using co-occurrence counts.

minfreq

is a integer. It indicates the minimun frequency of a cluster.

Value

a list containing:

map		The thematic map as ggplot2 object
clusters		Centrality and Density values for each cluster.

Details

thematicMap starts from a co-occurrence keyword network to plot in a two-dimesional map the typological themes of a domain.

See Also

biblioNetwork function to compute a bibliographic network.

cocMatrix to compute a bibliographic bipartite network.

networkPlot to plot a bibliographic network.

Examples

# NOT RUN {
data(scientometrics)
NetMatrix <- biblioNetwork(scientometrics, analysis = "co-occurrences", 
              network = "keywords", sep = ";")
S <- normalizeSimilarity(NetMatrix, type = "association")
net <- networkPlot(S, n = 100, Title = "co-occurrence network",type="fruchterman",
     labelsize = 0.7, halo = FALSE, cluster = "walktrap",remove.isolates=FALSE,
     remove.multiple=FALSE, noloops=TRUE, weighted=TRUE)
res <- thematicMap(net, NetMatrix, S)
plot(res$map)

# }