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Published on: July 10, 2021
Opinion-driven regulation of multi-strain pathogen transmission across species
Jiyu Zhang1, Shidong Zhai1, Hongchun Qu1
1School of Automation, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.
Abstract:
This study investigates the fundamental mechanisms underlying cross-species, multi-strain transmission in ecosystems from the opinion of group opinion dynamics. A multilayer interaction framework is proposed, incorporating signed-weighted social network dynamics to quantify group-level opinions and dynamically adjust key epidemiological parameters in real time. The analysis reveals that (1) infection pressure alters group opinion thresholds via cognitive-behavioral feedback, while the emerging collective consensus reciprocally regulates transmission intensity, forming a closed-loop feedback mechanism. (2) The topology of the opinion network governs epidemic phase transitions, inducing a bistable regime characterized by either low-risk (opinion cohesion) or high-risk (opinion polarization) states. By identifying critical nodes within the signed social graph, the study transforms group opinion intensity into dynamic warning thresholds, enabling targeted ecological interventions.
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