Skip to content

1 paper indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#diffusion models Open access Sep 2026

Public information sharing during public health emergencies: an adaptive-network evolutionary game

Introduction Public health emergencies can generate verified sharing, opportunistic dissemination, and strategic silence within the same communication environment, yet diffusion-centered approaches offer limited explanation of how these contrasting behaviors emerge together or change as communication relationships evolve. Methods This study develops an adaptive-network evolutionary game in which individuals choose among verified/corrective sharing, opportunistic sharing, and silence. The model links information value, verification burden, attention incentives, targeted sanctions, and participation-related liability to local interaction and adaptive rewiring. Results Valuable and low-burden credible information favors verified sharing, whereas strong attention incentives favor opportunistic dissemination. Targeted accountability can redirect behavior toward credible participation, while generalized liability weakens good-faith sharing and, when combined with broader withdrawal incentives, can contribute to information vacuums. Discussion By separating information quality, information absence, and structural connectivity, the study shifts attention from diffusion volume to the joint evolution of behavior and communication relationships. The findings provide a mechanism-based basis for designing public-health communication policies that constrain harmful dissemination without discouraging credible participation.

Yiling Ma, Wei Feng · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.