通过社交网络分析,评估Twitter对新型COVID-19变种XBB.1.5的言论
Ikhwan Yuda Kusuma1, Hening Pratiwi2, Shafa Fitri Khairunnisa3,4
1Pharmacy Study Program, Faculty of Health, Universitas Harapan Bangsa, Purwokerto 53182, Indonesia.
Vaccine: X
|June 15, 2023
概括
对推特数据的社交网络分析显示,关键影响者正在讨论SARS-CoV-2 XBB.1.5 Omicron亚型. 大多数讨论都显示出积极的情绪,日本用户和科学来源占据了重要地位.
科学领域:
- 病毒学与公共卫生
- 社交网络分析 社交网络分析
- 计算社会科学 计算社会科学
背景情况:
- 这种SARS-CoV-2 Omicron亚型XBB.1.5呈现出增加的传染性和免疫逃避.
- 推特是信息传播和对新出现的COVID-19变种的公众评估的平台.
研究的目的:
- 分析社交网络动态,关键影响者,信息来源和围绕Twitter上COVID-19 XBB.1.5变种的情绪.
- 采用社交网络分析 (SNA) 来了解沟通模式,并识别XBB.1.5讨论中的有影响力的参与者.
主要方法:
- 使用关键字"XBB.1.5"和NodeXL.L.收集和清理推特数据
- 应用SNA指标 (中心性得分) 来识别关键用户和网络结构.
- 利用Gephi进行网络可视化和Azure机器学习进行情绪分析 (积极,消极,中立).
主要成果:
- 确定了43,394条与XBB.1.5相关的推文,其中"ojimakohei"作为一个高度核心的用户.
- 最重要的信息来源包括推特,日本网站 (.co.jp, .or.jp) 和科学存储库 (biorxiv.org,cdc.gov).
- 情绪分析显示主要是积极的 (61.35%),其次是中立的 (22.44%) 和负面的 (16.20%) 推文.
结论:
- 日本积极参与评估XBB.1.5变种,有影响力的用户发挥了重要作用.
- 偏爱经过验证的来源和积极的情绪表明使用者对健康的认识.
- 建议卫生组织,政府和影响者之间进行合作,以打击COVID-19错误信息.
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