Social networks and spatial-temporal analyses for winter storm Jupiter in the US in 2017

Seungil Yum ()
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Seungil Yum: University of Florida

Quality & Quantity: International Journal of Methodology, 2022, vol. 56, issue 4, No 11, 2105 pages

Abstract: Abstract This study sheds new light on understanding human sentiment for Winter storm Jupiter according to the whole US states and different periods based on qualitative and quantitative analyses. This study finds that Twitter users upload their tweets to share important messages for the winter storm, such as weather changes and road conditions. Next, some people think that governments use the winter storm to move people’s attention from the serious problems in their life to the weather issue. Third, people are highly interested in a temporary school or workplace closing and weather forecast channels in the winter storm week. Fourth, tweets have the most frequent keywords, such as day, ice, and today, which are related to the weather during the winter storm. Lastly, the spatial pattern of the proportion of tweets is differentiated by regions and periods.

Keywords: Winter storm; Jupiter; Qualitative analysis; Quantitative analysis; Twitter (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:qualqt:v:56:y:2022:i:4:d:10.1007_s11135-021-01210-x

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DOI: 10.1007/s11135-021-01210-x

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