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Text Mining and Visualization
book

Text Mining and Visualization

by Markus Hofmann, Andrew Chisholm
January 2016
Intermediate to advanced
337 pages
11h 50m
English
Chapman and Hall/CRC
Content preview from Text Mining and Visualization
Empirical Analysis of the Stack Overflow Tags Network 275
Thus, not only the highest betweenness node is nowhere to be seen in the 100 most
frequent tags, but also none of the 10 most frequent tags scores high in betweenness cen-
trality; we can see that, in fact, with the exception of the tag api, none of the 20 tags
with the highest betweenness centrality is in the top 100 frequency list. We can go a little
further, and check in particular how exactly the 10 most frequent tags score and rank in
betweenness centrality:
> bc.df$bc.rank <- 1:length(V(gr)) # add bc.rank field
> ind <- which(bc.df$freq.rank <= 10) # find the 10 most frequent tags
> bc.df[ind,] # display them
bc freq.rank bc.rank
mysql 7035.926 10 178
html 6295.522 9 226
jquery 5764.672 6
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Publisher Resources

ISBN: 9781482237580