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Volumn 64, Issue 7, 2013, Pages 1399-1410

On predicting the popularity of newly emerging hashtags in Twitter

Author keywords

automatic classification; content filtering; text mining

Indexed keywords

AUTOMATIC CLASSIFICATION; CLASSIFICATION TASKS; CONTENT FILTERING; ECONOMIC IMPORTANCE; LOGISTIC REGRESSION MODELS; LOGISTIC REGRESSIONS; STANDARD CLASSIFICATION MODELS; TEXT MINING;

EID: 84878592161     PISSN: 15322882     EISSN: 15322890     Source Type: Journal    
DOI: 10.1002/asi.22844     Document Type: Article
Times cited : (225)

References (29)
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    • Differences in the mechanics of information diffusion across topics: Idioms, political hashtags, and complex contagion on Twitter
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    • Romero, D.M.1    Meeder, B.2    Kleinberg, J.3
  • 22
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    • doi: 10.1016/j.pubrev.2010.12.001
    • Schultz, F., Utz, S., &, Gritz, A., (2011). Is the medium the message? Perceptions of and reactions to crisis communication via Twitter, blogs and traditional media. Public Relations Review, 37 (1), 20-27. doi: 10.1016/j.pubrev.2010.12.001
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    • Schultz, F.1    Utz, S.2    Gritz, A.3
  • 26
    • 84864039725 scopus 로고    scopus 로고
    • Estimating the diffusion models of crisis information in micro blog
    • doi: 10.1016/j.joi.2012.06.005
    • Wei, J., Bu, B., &, Liang, L., (2012). Estimating the diffusion models of crisis information in micro blog. Journal of Informetrics, 6 (4), 600-610. doi: 10.1016/j.joi.2012.06.005
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    • Wei, J.1    Bu, B.2    Liang, L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.