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    <identifier>10.11922/sciencedb.01044</identifier>
    <datestamp>2021-08-09T09:51:03Z</datestamp>
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  <dc:date>2021-08-09</dc:date>
  <dc:title>Public Sentiment Diffusion over COVID-19 Related Tweets Posted by Major Public Health Agency in the United States.</dc:title>
  <dc:identifier>doi:10.11922/sciencedb.01044</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>AboutThe required corpus for research in the article: Public Sentiment Diffusion over COVID-19 Related Tweets Posted by Major Public Health Agency in the United States.File DescriptiontweetTongji-final.xlsx: the result and diagram of handling the corpus in the article.id_network.csv: the interaction record of tweet with id extarcted from tweets posted by HHS, NIH, FDA and CDC in the COVID-19-TweetIds dataset.for example, the file 1221623107397595137_network.csv store the interaction record of tweed whose id is 1221623107397595137.extraction.py: script for interaction extraction from mongodb collection.moreinfo.py: script for extract more information about the interaction tweets from the COVID-19-TweetIds dataset.allinfowithemotion.py：script for emerge emotion intensity and polarity of tweets.Fileds of Interaction recordFromNodeId: the id of father tweet,ToNodeId: the id of child tweet,Weight: the type of interaction. 1 represents retweet, 2 represents reply, 3 represents quote,Level: the level of sentiment diffusion network.</dc:description>
  <dc:subject>Emotional Diffusion; Tweets; COVID-19; Pandemic Management; US Public Health Agency</dc:subject>
  <dc:creator>Haixu Xi</dc:creator>
  <dc:creator>Chengzhi Zhang</dc:creator>
  <dc:creator>Yi Zhao</dc:creator>
  <dc:creator>Sheng He</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/10.1162/dint_a_00101</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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