R bibliometrix package's thematicmap formatting
I am trying to do bibliometrix analysis of articles using the bibliometrix package for R programming language. I have been able to extract the keywords from articles and everything works well using the code below. However, when I try to output the keyword cluster using the thematic map function, some of the keywords are overlayed on there. Is there a way to let each text display separately either from the network plot function or from the thematic map plots? See code and plots below
NetMatrix <- biblioNetwork(M, analysis = "co-occurrences", network = "author_keywords", sep = ";")
S <- normalizeSimilarity(NetMatrix, type = "association")
net <- networkPlot(S, n = 200, 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$map)
The thematicmap plot is presented below
As you can see, the texts to the bottom left side are not legible and overriding each other. Your help is appreciated.
Thanks
r citations
asked Mar 7 '18 at 20:03
Bayuo BlaiseBayuo Blaise
11218
add a comment |
I am trying to do bibliometrix analysis of articles using the bibliometrix package for R programming language. I have been able to extract the keywords from articles and everything works well using the code below. However, when I try to output the keyword cluster using the thematic map function, some of the keywords are overlayed on there. Is there a way to let each text display separately either from the network plot function or from the thematic map plots? See code and plots below
NetMatrix <- biblioNetwork(M, analysis = "co-occurrences", network = "author_keywords", sep = ";")
S <- normalizeSimilarity(NetMatrix, type = "association")
net <- networkPlot(S, n = 200, Title = "co-occurrence network",type="fruchterman", labelsize = 0.7, halo = FALSE, cluster = "walktrap",remove.isolates=FALSE, remove.multiple=FALSE, noloops=TRUE, weighted=TRUE)
res <- thematicMap(net, NetMatrix, S)
plot(res$map)
The thematicmap plot is presented below
As you can see, the texts to the bottom left side are not legible and overriding each other. Your help is appreciated.
Thanks
r citations
asked Mar 7 '18 at 20:03
Bayuo BlaiseBayuo Blaise
11218
add a comment |
I am trying to do bibliometrix analysis of articles using the bibliometrix package for R programming language. I have been able to extract the keywords from articles and everything works well using the code below. However, when I try to output the keyword cluster using the thematic map function, some of the keywords are overlayed on there. Is there a way to let each text display separately either from the network plot function or from the thematic map plots? See code and plots below
NetMatrix <- biblioNetwork(M, analysis = "co-occurrences", network = "author_keywords", sep = ";")
S <- normalizeSimilarity(NetMatrix, type = "association")
net <- networkPlot(S, n = 200, 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$map)
The thematicmap plot is presented below
As you can see, the texts to the bottom left side are not legible and overriding each other. Your help is appreciated.
Thanks
r citations
asked Mar 7 '18 at 20:03
Bayuo BlaiseBayuo Blaise
11218
I am trying to do bibliometrix analysis of articles using the bibliometrix package for R programming language. I have been able to extract the keywords from articles and everything works well using the code below. However, when I try to output the keyword cluster using the thematic map function, some of the keywords are overlayed on there. Is there a way to let each text display separately either from the network plot function or from the thematic map plots? See code and plots below
NetMatrix <- biblioNetwork(M, analysis = "co-occurrences", network = "author_keywords", sep = ";")
S <- normalizeSimilarity(NetMatrix, type = "association")
net <- networkPlot(S, n = 200, Title = "co-occurrence network",type="fruchterman", labelsize = 0.7, halo = FALSE, cluster = "walktrap",remove.isolates=FALSE, remove.multiple=FALSE, noloops=TRUE, weighted=TRUE)
res <- thematicMap(net, NetMatrix, S)
plot(res$map)
The thematicmap plot is presented below
As you can see, the texts to the bottom left side are not legible and overriding each other. Your help is appreciated.
Thanks
r citations
r citations
asked Mar 7 '18 at 20:03
Bayuo BlaiseBayuo Blaise
11218
asked Mar 7 '18 at 20:03
Bayuo BlaiseBayuo Blaise
11218
asked Mar 7 '18 at 20:03
Bayuo BlaiseBayuo Blaise
11218
asked Mar 7 '18 at 20:03
Bayuo BlaiseBayuo Blaise
11218
asked Mar 7 '18 at 20:03
Bayuo BlaiseBayuo Blaise
11218
11218
add a comment |
add a comment |
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