Table 1 Overview of CIDM parameters
From: A model for the co-evolution of dynamic social networks and infectious disease dynamics
Parameter | Admissible | Used |
|---|---|---|
I. Utilities | ||
 I.I. Social benefits (\(B_{i}\)) | ||
  Benefit of direct ties | \(\alpha \in \mathbb {R}\) | \(\alpha = 10\) |
  Discount of infected direct ties | \(0 \le \kappa \le 1\) | \(\kappa = 1.0\) |
  Benefit of indirect ties | \(\beta \in \mathbb {R}\) | \(\beta \in \{2, 8\}\) |
  Discount of infected indirect ties | \(0 \le \lambda \le 1\) | \(\lambda = 1.0\) |
 I.II. Social maintenance costs (\(C_{i}\)) | ||
  Costs to maintain direct ties | \(c \in \mathbb {R}\) | \(c = 9\) |
  Cost increase for infected direct ties | \(\mu \ge 1\) | \(\mu \in \{1.0, 1.5\}\) |
 I.III. Potential harm of infections (\(D_{i}\)) | ||
  Disease severity | \(\sigma > 1\) | \(\sigma \in \{2, 10, 50\}\) |
  Probability of getting infected per contact | \(0 \le \gamma \le 1\) | \(\gamma = 0.1\) |
  Risk perception (disease severity) | \(0 \le r_{\sigma } \le 2\) | \(r_{\sigma } = r_{\pi } = r \in \{0.5, 1.0, 1.5\}\) |
  Risk perception (probability of infection) | \(0 \le r_{\pi } \le 2\) | |
  Recovery time | \(\tau > 0\) | \(\tau = 10\) |
II. Network | ||
 Network size | \(N > 1\) | \(N \in \{10, 15, 20, 25, 50\}\) |
 Initial network structure | \(\iota \in \{\text {empty}, \text {full}\}\) | \(\iota \in \{\text {empty}, \text {full}\}\) |
 Proportion of ties to evaluate per time step | \(0 < \phi \le 1\) | \(\phi = 0.4\) |