Sensitivity to Noise Variance in a Social Network Dynamics Model
NORTH CAROLINA STATE UNIV AT RALEIGH CENTER FOR RESEARCH IN SCIENTIFIC COMPUTATION
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The dynamics of social networks are modeled with a system of continuous Stochastic Ordinary Differential Equations SODE. With the proper amount of noise input, the SODE model captures dynamic features that are lacking in the corresponding deterministic ODE model. Therefore, sensitivity to noise levels is investigated by considering four different regimes essentially deterministic, noise-enriched, noise-enlarged, and noise-dominated. Each regime is defined based on the behavior of solutions of the SODE, and the geometry of the regimes is categorized with stochastic simulations.
- Sociology and Law
- Statistics and Probability
- Computer Programming and Software