Genomics and Applied Biology 2017, Vol.8, No.5, 30-48
32
The paper analyzed the co-keywords networks in Chinese-language articles by setting Time Slice Length=1, Node
Type=Keywords, Selection Criteria: Top 80 per slice, and we got the
visualized networks of co-keywords
consisting of 700 nodes and 2664 links (Figure 7). Table 7 shows the Top 20 keywords. Moreover, cluster analysis
was also made which generated 18 relatively obvious clusters (words in red in Figure 7 are the label words of
clusters). The module value (Q value)= 0.5709>0.3 and the mean silhouette value (S value)= 0.5112>0.5 illustrate
that the generated cluster structure is apparent and the clusters are reasonable. And they are also the bases of the
settling of Selection Criteria. The main burst keywords in those articles are listed in Figure 8. Burst keywords are
the nodes where the frequency increases or decreases abruptly. Those nodes are usually considered as the turning
points of a certain research hot spot.
Figure 7 The visualized networks of co-keywords in Chinese-language articles
Table 7 The top 20 keywords with highest occurrence frequency in Chinese-language articles
Rank
Keywords
Frequency
1
Genomics
1234
2
Proteomics
390
3
Pharmacogenomics
308
4
Bioinformatics
284
5
Functional genomics
263
6
Genome
221
7
Comparative genomics
205
8
Metabonomics
193
9
Gene chip
156
10
Bioscience
147
11
Gene polymorphism
140
12
Human genome project
137
13
DNA
103
14
Gene expression
101
15
Biotechnology
99
16
Single nucleotide polymorphism
97
17
Genome research
97
18
Systems biology
94
19
Metagenomics
92
20
Molecular marker
88
