利用语义和社会网络联合分析对大流行病期间的经济政策进行评估和判断

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

Connection Science Pub Date : 2024-04-03 DOI:10.1080/09540091.2023.2298073

Miao Yu, Xing Wan, Tianyou Zhu, Yuyue Wang, Mengdi Xu, Zhenzhen Wu, Xinyu Li

引用次数: 0

摘要

本文深入探讨了大流行病期间中国的经济政策，并研究了政策发布机构之间的关系。首先，我们进行了关键词提取和统计分析。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Economic policies assessment and judgement during the pandemic with semantic and social network joint analysis

This paper delves into the economic policies of China during the pandemic and investigates the relationships between policy-issuing institutions. Firstly, we conduct keyword extraction and statisti...

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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.