GAB-2017v8n5 - page 13

Genomics and Applied Biology 2017, Vol.8, No.5, 30-48
http://gab.biopublisher.ca
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The paper analyzed the co-keywords networks in English-language articles by setting Time Slice Length=1, Node
Type=Keywords, Selection Criteria: Top 20 per slice, and we got the visualized networks consisting of 138 nodes
and 466 links (Figure 9). Table 8 lists the Top 20 keywords. Moreover, cluster analysis was also made which
generated 10 relatively obvious clusters. The module value (Q value)= 0.5452>0.3 and the mean silhouette value
(S value)= 0.7669>0.7 illustrate that the generated cluster structure is apparent and the clusters are highly efficient
and reasonable. The main burst keywords in those articles are listed in Figure 10.
Figure 9 The visualized networks of co-keywords in foreign-language articles
Table 8 The top 20 keywords with highest occurrence frequency in foreign-language articles
Rank Keyword Frequency
1 Genomics 8085
2 Gene expression 3938
3 Identification 3602
4 Expression 3312
5
6
Gene 3296
Comparative genomics 3215
7 Functional genomics 3132
8 Sequence 3056
9 Evolution 2916
10 Protein 2351
11 Escherichia coli 2158
12 Database 1942
13 Arabidopsis thaliana 1720
14 Microarray 1519
15 Genome 1482
16 DNA 1462
17 Proteomics 1302
18 Saccharomyces cerevisiae 1246
19 Genetics 1176
20 Cancer 1165