دورية أكاديمية
Excavating important nodes in complex networks based on the heat conduction model
| العنوان: | Excavating important nodes in complex networks based on the heat conduction model |
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| المؤلفون: | Haifeng Hu, Junhui Zheng, Wentao Hu, Feifei Wang, Guan Wang, Jiangwei Zhao, Liugen Wang |
| المصدر: | Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024) |
| بيانات النشر: | Nature Portfolio, 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Medicine LCC:Science |
| مصطلحات موضوعية: | Heat conduction model, Degree density, Network density, Distance, SIR model, IC model, Medicine, Science |
| الوصف: | Abstract Analyzing the important nodes of complex systems by complex network theory can effectively solve the scientific bottlenecks in various aspects of these systems, and how to excavate important nodes has become a hot topic in complex network research. This paper proposes an algorithm for excavating important nodes based on the heat conduction model (HCM), which measures the importance of nodes by their output capacity. The number and importance of a node’s neighbors are first used to determine its own capacity, its output capacity is then calculated based on the HCM while considering the network density, distance between nodes, and degree density of other nodes. The importance of the node is finally measured by the magnitude of the output capacity. The similarity experiments of node importance, sorting and comparison experiments of important nodes, and capability experiments of multi-node infection are conducted in nine real networks using the Susceptible-Infected-Removed model as the evaluation criteria. Further, capability experiments of multi-node infection are conducted using the Independent cascade model. The effectiveness of the HCM is demonstrated through a comparison with eight other algorithms for excavating important nodes. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2045-2322 |
| Relation: | https://doaj.org/toc/2045-2322 |
| DOI: | 10.1038/s41598-024-58320-3 |
| URL الوصول: | https://doaj.org/article/4e49aa5f20614328936d06c92b930f84 |
| رقم الأكسشن: | edsdoj.4e49aa5f20614328936d06c92b930f84 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 20452322 |
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| DOI: | 10.1038/s41598-024-58320-3 |