Elucidating the interplay of COVID-19 epidemic and social dynamics via Internet media in Germany

在本项目中，我们希望利用互联网媒体资源（Twitter、Telegram、Youtube、新闻媒体）来了解德国与covid -19相关的社会动态背后的驱动机制，以及它们如何与疫情相互作用。为此，我们使用数据挖掘、网络分析和自然语言处理的方法来开发耦合社会和流行病学动态的定量模型。这些模型用于提出有效和有针对性的通信和控制措施的建议。

In the present project, we want to use internet media sources (Twitter, Telegram, Youtube, news media) to understand the driving mechanisms behind COVID-19-related social dynamics in Germany and how they interact with the epidemic. To this end, we use the methods of data mining, network analysis, and natural language processing to develop quantitative models of coupled social and epidemiological dynamics. The models are used to propose recommendations for effective and targeted communication and control measures.