Stochastic Rumor Propagation Dynamics with Log-Normal Ornstein–Uhlenbeck Process

Considering the inevitable impact of environmental interference on rumor propagation, this paper constructs and studies a stochastic rumor propagation model in which the diffusion rate is described by the Log-normal Ornstein–Uhlenbeck (OU) process. Firstly, we rigorously prove the existence and uniqueness of global positive solutions for the model, which serves as a fundamental prerequisite for further dynamical analysis. Subsequently, by constructing an appropriate Lyapunov function and combining it with the ergodic property of the OU process, sufficient criteria for the existence of a stationary distribution of the system are given. Finally, we demonstrate that when R0e≤1, rumors will tend to become extinct at an exponential rate.

Authors

Institutions

Publication Details

Journal
Entropy
Published
2026-10-09
DOI
https://doi.org/10.3390/e28101100
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Stochastic Rumor Propagation Dynamics with Log-Normal Ornstein–Uhlenbeck Process

Haijun Jiang, Shuzhen Yu, Nafisa Ablat
Entropy
Mathematical and Theoretical Epidemiology and Ecology Models
article

Stochastic Rumor Propagation Dynamics with Log-Normal Ornstein–Uhlenbeck Process

Haijun Jiang, Shuzhen Yu, Nafisa Ablat
article en

Abstract

Considering the inevitable impact of environmental interference on rumor propagation, this paper constructs and studies a stochastic rumor propagation model in which the diffusion rate is described by the Log-normal Ornstein–Uhlenbeck (OU) process. Firstly, we rigorously prove the existence and uniqueness of global positive solutions for the model, which serves as a fundamental prerequisite for further dynamical analysis. Subsequently, by constructing an appropriate Lyapunov function and combining it with the ergodic property of the OU process, sufficient criteria for the existence of a stationary distribution of the system are given. Finally, we demonstrate that when R0e≤1, rumors will tend to become extinct at an exponential rate.

EntropyVol. 28(10)
Xinjiang Normal University (CN)
Openalex Percentile: Top 10%
Mathematical and Theoretical Epidemiology and Ecology Models
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.