Mapping auroral activity with Twitter
Mapping auroral activity with Twitter
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使用 Twitter 绘制极光活动图
DOI：
10.1002/2015gl063709
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发表时间：
2015
影响因子：
5.2
通讯作者：
N. LaLone
中科院分区：
文献类型：
--
作者：
N. Case;E. MacDonald;M. Heavner;A. Tapia;N. LaLone
Twitter是一种流行的、可公开访问的社交媒体服务，在实时绘制大型事件地图方面非常有用。在这项研究中，首次使用Twitter作为极光活动的测量方法进行了调查。发现与极光相关的微博数量的峰值经常与地磁干扰相吻合（检测率为91%）。此外，每日与极光相关的推文数量被发现与几个极光强度代理（ravg≈0.7）密切相关。对Twitter数据中的位置和时间偏差进行了检查，并对这些影响进行了一阶校正。总的来说，结果表明Twitter可以提供关于单个极光的具体细节和准确的实时指示，何时，甚至从哪里，可以看到极光。
Twitter is a popular, publicly accessible, social media service that has proven useful in mapping large‐scale events in real time. In this study, for the first time, the use of Twitter as a measure of auroral activity is investigated. Peaks in the number of aurora‐related tweets are found to frequently coincide with geomagnetic disturbances (detection rate of 91%). Additionally, the number of daily aurora‐related tweets is found to strongly correlate with several auroral strength proxies (ravg≈0.7). An examination is made of the bias for location and time of day within Twitter data, and a first‐order correction of these effects is presented. Overall, the results suggest that Twitter can provide both specific details about an individual aurora and accurate real‐time indication of when, and even from where, an aurora is visible.