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EPIDEMIC SPREAD MODELING IN HETEROGENEOUS NETWORKS INTEGRATING BARABASI-ALBERT NETWORK AND SIRS MODEL WITH METHODOLOGICAL EXPLORATION AND FUTURE PROSPECTS

ABSTRACT

This paper integrates the Barabasi-Albert network model and the Susceptible-infectious-recovered-susceptible (SIRS) model to explore epidemic spread modeling in heterogeneous networks. Notwithstanding the simplifying assumptions inherent in the model and the absence of empirical verification, the proposed approach provides a theoretical foundation for comprehending multi-scale epidemic transmission. The Barabasi-Albert subnetworks and SIRS-based simulation method are described in detail, and they can be used to create a realistic network environment for further analysis. Subsequent research endeavors will center on the implementation of this framework in relation to authentic data and the integration of more intricate elements, such as human behavior and environmental factors.

KEYWORDS

Barabasi-Albert network, SIRS model, complex network theory, epidemic modeling

PAPER SUBMITTED: 2024-12-15

PAPER REVISED: 2025-03-21

PAPER ACCEPTED: 2025-03-23

PUBLISHED ONLINE: 2026-04-12

DOI REFERENCE: https://doi.org/10.2298/TSCI2602899L

CITATION EXPORT: view in browser or download as text file

THERMAL SCIENCE YEAR 2026, VOLUME 30, ISSUE No. 2, PAGES [899 - 906]

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Epidemic spread modeling in heterogeneous networks integrating Barabasi-Albert network and sirs model with methodological exploration and future prospects

© 2026 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence

THERMAL SCIENCE

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Zhibin Luo

Haiyan Li

Haibin Li

EPIDEMIC SPREAD MODELING IN HETEROGENEOUS NETWORKS INTEGRATING BARABASI-ALBERT NETWORK AND SIRS MODEL WITH METHODOLOGICAL EXPLORATION AND FUTURE PROSPECTS