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Figure 3 | EPJ Data Science

Figure 3

From: Identifying the temporal dynamics of densification and sparsification in human contact networks

Figure 3

Validation of the maximum-likelihood estimation method. (a) Estimation of \(N_{\mathrm{p}}\) ranging from 5 to 200 (incremented by 5) for a given κ annotated at the top. (b) Estimation of κ ranging from 0.05 to 2.5 (incremented by 0.05) for a given \(N_{\mathrm{p}}\) annotated at the top. The estimates \(\widehat{N}_{{\mathrm{p}},t}\) and \(\widehat{\kappa}_{t}\) are obtained based on the connecting probability specified by Eq. (1). (c) The same experiment as in panel b for smaller networks. The estimation may not work well when \(N_{\mathrm{p}}\) is quite small. In all panels, the error bars denote one standard deviation computed over 1000 runs. Solid line represents the true value (i.e., 45-degree line)

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