基于用户兴趣强度并考虑出生率和死亡率的传播动态 I-SFI 模型

IF 1.8 4区数学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Mathematical and Computer Modelling of Dynamical Systems Pub Date : 2024-02-18 DOI:10.1080/13873954.2024.2315289

Fulian Yin, Jieling Wu, Jingyang Xu, Yuwei She, Jianhong Wu

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引用次数: 0

摘要

每个人对社交媒体上发布的热门话题都有不同程度的兴趣，这可能会影响用户的行为。为了找出它对信息传播过程的影响方式，我们需要对社交媒体上的热门话题进行分析。

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I-SFI model of propagation dynamic based on user’s interest intensity and considering birth and death rate

Everyone has a different level of interest in a trending topic posted on social media, which may affect user’s behaviour. In order to find out the way it affects the process of information transmis...

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来源期刊

Mathematical and Computer Modelling of Dynamical Systems 数学-计算机：跨学科应用

CiteScore

3.80

自引率

5.30%

发文量

审稿时长

>12 weeks

期刊介绍： Mathematical and Computer Modelling of Dynamical Systems (MCMDS) publishes high quality international research that presents new ideas and approaches in the derivation, simplification, and validation of models and sub-models of relevance to complex (real-world) dynamical systems. The journal brings together engineers and scientists working in different areas of application and/or theory where researchers can learn about recent developments across engineering, environmental systems, and biotechnology amongst other fields. As MCMDS covers a wide range of application areas, papers aim to be accessible to readers who are not necessarily experts in the specific area of application. MCMDS welcomes original articles on a range of topics including: -methods of modelling and simulation- automation of modelling- qualitative and modular modelling- data-based and learning-based modelling- uncertainties and the effects of modelling errors on system performance- application of modelling to complex real-world systems.