| Id |
Subject |
Object |
Predicate |
Lexical cue |
| T236 |
0-91 |
Sentence |
denotes |
Table 4 Evaluation of the effect of QFPD on the robustness disturbance of COVID-19 network. |
| T237 |
92-135 |
Sentence |
denotes |
Topology MXSG SGMH XCH WLS Others BXTM YDBF |
| T238 |
136-181 |
Sentence |
denotes |
DTS 25.66 26.71 21.02 17.64 23.16 14.52 22.71 |
| T239 |
182-226 |
Sentence |
denotes |
AC −4.63 −5.21 −3.02 −3.49 −5.38 −2.32 −3.78 |
| T240 |
227-269 |
Sentence |
denotes |
APL 13.35 13.40 9.96 6.49 10.66 4.59 11.17 |
| T241 |
270-315 |
Sentence |
denotes |
CoC −1.44 −1.64 −1.59 −1.30 −1.23 −1.15 −1.25 |
| T242 |
316-361 |
Sentence |
denotes |
ClC −6.24 −6.46 −6.45 −6.36 −5.88 −6.46 −6.52 |
| T243 |
362-547 |
Sentence |
denotes |
Average connectivity (AC), Connection centrality (CoC), Closeness centrality (ClC): the larger the quotient is, the more stable the network and, the less the influence made by the drug. |
| T244 |
548-723 |
Sentence |
denotes |
Disturbance total score (DTS), Average length of shortest path (APL), : the larger the quotient is, the less stable the network and, the larger the influence made by the drug. |
| T245 |
724-755 |
Sentence |
denotes |
Negative control formula: BXTM. |
| T246 |
756-787 |
Sentence |
denotes |
Positive control formula: YDBF. |
