Detecting significant nodes in intricate networks is essential for various purposes, including market advertising, rumor management, and predicting scientific publications. Existing algorithms, from basic degree methods to more complex approaches, have been developed, but there is a need for a more robust solution. Traditional methods often focus on local network details, neglecting global aspects. This study introduces a network structure entropy-based node importance ranking method that considers both local and global information. The method's efficacy is validated through comparisons with three benchmarks, showcasing strong performance on two real-world datasets. Further work could explore scalability and applicability in dynamic scenarios.

Elaheh Nikougoftar

Chaos Solitons & Fractals

CHAOS, SOLITONS & FRACTALS 旨在成为非线性科学、非平衡和复杂现象跨学科领域的领先期刊。它鼓励提交关于该领域以下主题的文章：动力学；物理学、化学和地球物理学中的非平衡过程；复杂的物质和网络；数学模型；计算生物学；应用于量子和介观现象；波动和随机过程；自组织；社会现象。

Chaos, Solitons and Fractals aims to be a leading journal in the interdisciplinary field of nonlinear science, nonequilibrium, and complex phenomena. We encourage submissions on the following topics: dynamics; nonequilibrium processes in physics, chemistry, and geophysics; complex materials and networks; mathematical models; computational biology; applications in quantum and mesoscopic phenomena; fluctuations and stochastic processes; self-organization; and social phenomena.

《Chaos, Solitons and Fractals》旨在成为非线性科学、非平衡和复杂现象跨学科领域的领先期刊。我们鼓励提交关于以下主题的文章：动力学；物理学、化学和地球物理学中的非平衡过程；复杂物质和网络；数学模型；计算生物学；量子和介观现象的应用；波动和随机过程；自组织现象；社会现象。

Category	Quartile
数学	1
数学, 数学跨学科应用	1
数学, 物理数学物理	1
数学, 物理综合	1

Strategic node identification in complex network dynamics

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Journal Info

Category	Quartile
PHYSICS, MULTIDISCIPLINARY	1