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Table 6 Network Analysis measurements for the gene–gene network

From: Integrating text mining, data mining, and network analysis for identifying genetic breast cancer trends

  Betweenness centrality Modularity class   Closeness centrality Modularity class
ESR1 0.09 2 ESR1 0.62 2
ERBB2 0.06 2 ERBB2 0.6 2
CDKN2A 0.04 6 CDKN2A 0.58 6
SLC20A2 0.03 2 SLC20A2 0.57 2
EGF 0.02 2 EGF 0.57 2
PGR 0.02 2 PGR 0.56 2
BRCA1 0.02 6 ACAD9 0.55 5
CDH1 0.02 0 CDH1 0.55 0
ACAD9 0.02 5 MAPK10 0.55 5
HLA-H 0.02 6 TKT 0.55 2
  1. The top 10 genes with the highest betweenness are shown, as well as the top 10 genes with the highest closeness. The modularity class is also shown, where it denotes the community that the gene belongs to