Information and Knowledge Diffusion Dynamics in Complex Networks with Independent Spreaders DOI Creative Commons
Yan Zhuang, Weihua Li, Yang Liu

et al.

Entropy, Journal Year: 2025, Volume and Issue: 27(3), P. 234 - 234

Published: Feb. 24, 2025

Information and knowledge diffusion are important dynamical processes in complex social systems, which the underlying topology of interactions among individuals is often modeled as networks. Recent studies have examined various information scenarios primarily focusing on dynamics within one network; yet, relatively little scholarly attention has been paid to possible beyond focal network. Here, this study, we account for phenomenon by modeling with involvement independent spreaders a susceptible–exposed–infectious–recovered contagion process. Independent receive using latent transmission pathways without following links network can spread remote areas not well connected major components. We derive mathematics critical epidemic thresholds homogeneous heterogeneous networks function infectious rate, exposure recovery rate activeness spreaders. present simulation results Small World Scale-Free networks, real-world Facebook artists physicist collaborations. The result shows that extent or might be more extensive than explain terms link only. In addition, these also help how affect process may implications exploring other processes.

Language: Английский

Information and Knowledge Diffusion Dynamics in Complex Networks with Independent Spreaders DOI Creative Commons
Yan Zhuang, Weihua Li, Yang Liu

et al.

Entropy, Journal Year: 2025, Volume and Issue: 27(3), P. 234 - 234

Published: Feb. 24, 2025

Information and knowledge diffusion are important dynamical processes in complex social systems, which the underlying topology of interactions among individuals is often modeled as networks. Recent studies have examined various information scenarios primarily focusing on dynamics within one network; yet, relatively little scholarly attention has been paid to possible beyond focal network. Here, this study, we account for phenomenon by modeling with involvement independent spreaders a susceptible–exposed–infectious–recovered contagion process. Independent receive using latent transmission pathways without following links network can spread remote areas not well connected major components. We derive mathematics critical epidemic thresholds homogeneous heterogeneous networks function infectious rate, exposure recovery rate activeness spreaders. present simulation results Small World Scale-Free networks, real-world Facebook artists physicist collaborations. The result shows that extent or might be more extensive than explain terms link only. In addition, these also help how affect process may implications exploring other processes.

Language: Английский

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