Table 3 Matrics with weak positive correlations
From: Inferring network properties based on the epidemic prevalence
\( \rho \left (\mathcal {D}_{p}(y_{0}),\mathcal {D}_{G}(\text {metric})\right) \) | \( \mathcal {D}_{G}(d_{\text {max}}) \) | \( \mathcal {D}_{G}(C_{G}) \) | \( \mathcal {D}_{G}(\mu _{N-1}) \) | \( \mathcal {D}_{G}(\rho _{D}) \) | \( \mathcal {D}_{G}(N) \) |
|---|---|---|---|---|---|
ER graphs, \( \mathcal {D}_{p}(y_{0}=0.2) \) | 0.821 | 0.477 | 0.490 | −0.014 | −0.059 |
WS graphs, \( \mathcal {D}_{p}(y_{0}=0.2) \) | 0.805 | −0.036 | −0.002 | 0.624 | −0.012 |
BA graphs, \( \mathcal {D}_{p}(y_{0}=0.2) \) | 0.386 | 0.358 | 0.854 | 0.595 | −0.031 |
SF graphs, \( \mathcal {D}_{p}(y_{0}=0.2) \) | 0.398 | 0.182 | 0.657 | 0.013 | −0.038 |
ER graphs, \( \mathcal {D}_{p}(y_{0}=1.0) \) | 0.856 | 0.525 | 0.524 | 0.082 | −0.018 |
WS graphs, \( \mathcal {D}_{p}(y_{0}=1.0) \) | 0.807 | −0.031 | 0.081 | 0.666 | −0.039 |
BA graphs, \( \mathcal {D}_{p}(y_{0}=1.0) \) | 0.284 | 0.410 | 0.813 | 0.535 | −0.003 |
SF graphs, \( \mathcal {D}_{p}(y_{0}=1.0) \) | 0.247 | 0.100 | 0.659 | 0.006 | 0.034 |