Detecting susceptible communities and individuals in hospital contact networks: a model based on social network analysis

IF 3.2 4区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Connection Science Pub Date : 2023-08-22 DOI:10.1080/09540091.2023.2236810

Yixuan Yang, Sony Peng, Sophort Siet, Sadriddinov Ilkhomjon, Vilakone Phonexay, Seok-Hoon Kim, Doosoon Park

引用次数: 0

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检测医院接触网络中的易感社区和个人:基于社会网络分析的模型

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Connection Science 工程技术-计算机：理论方法

CiteScore

6.50

自引率

39.60%

发文量

审稿时长

3 months

期刊介绍： Connection Science is an interdisciplinary journal dedicated to exploring the convergence of the analytic and synthetic sciences, including neuroscience, computational modelling, artificial intelligence, machine learning, deep learning, Database, Big Data, quantum computing, Blockchain, Zero-Knowledge, Internet of Things, Cybersecurity, and parallel and distributed computing. A strong focus is on the articles arising from connectionist, probabilistic, dynamical, or evolutionary approaches in aspects of Computer Science, applied applications, and systems-level computational subjects that seek to understand models in science and engineering.