论文标题
Twitter社会流动指数：测量地理位置推文的社会疏远实践
The Twitter Social Mobility Index: Measuring Social Distancing Practices from Geolocated Tweets
论文作者
论文摘要
社会距离是对新型冠状病毒（Covid-19）大流行的反应的重要组成部分。最大程度地减少社交互动并降低感染传播的速度，并“使曲线变平”，从而使医疗系统可以更好地治疗受感染的人。但是，目前尚不清楚公众将如何应对这些政策。本文介绍了Twitter社会流动指数，这是对Twitter数据的社会疏远和旅行的量度。我们使用公共地理位置的Twitter数据来衡量用户在给定的一周内旅行多少。在实施社会疏远政策之后，我们发现美国的旅行大幅减少，在没有政策的州的州的早期采用者和较小的国家变化中，较大的降低。我们的发现在http://socialmobility.covid19dataresources.org上介绍，我们将在大流行期间继续更新我们的分析。
Social distancing is an important component of the response to the novel Coronavirus (COVID-19) pandemic. Minimizing social interactions and travel reduces the rate at which the infection spreads, and "flattens the curve" such that the medical system can better treat infected individuals. However, it remains unclear how the public will respond to these policies. This paper presents the Twitter Social Mobility Index, a measure of social distancing and travel derived from Twitter data. We use public geolocated Twitter data to measure how much a user travels in a given week. We find a large reduction in travel in the United States after the implementation of social distancing policies, with larger reductions in states that were early adopters and smaller changes in states without policies. Our findings are presented on http://socialmobility.covid19dataresources.org and we will continue to update our analysis during the pandemic.
