메뉴 건너뛰기




Volumn , Issue , 2013, Pages 1103-1108

Prominent features of rumor propagation in online social media

Author keywords

Diffusion Network; Rumor; Sentiment Analysis; Social Media; Time Series

Indexed keywords


EID: 84894676196     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2013.61     Document Type: Conference Paper
Times cited : (815)

References (15)
  • 2
    • 0032342151 scopus 로고    scopus 로고
    • Rumor rest stops on the information highway: Transmission in a computer-mediated rumor chain
    • P. Bordia and R. Rosnow. Rumor rest stops on the information highway: Transmission in a computer-mediated rumor chain. Human Communication Research, 25:163-179, 1998.
    • (1998) Human Communication Research , vol.25 , pp. 163-179
    • Bordia, P.1    Rosnow, R.2
  • 4
    • 84890768200 scopus 로고    scopus 로고
    • Measuring user influence in twitter: The million follower fallacy
    • M. Cha, H. Haddadi, F. Benevenuto, and K. Gummadi. Measuring User Influence in Twitter: The Million Follower Fallacy. In ICWSM, 2010.
    • (2010) ICWSM
    • Cha, M.1    Haddadi, H.2    Benevenuto, F.3    Gummadi, K.4
  • 8
    • 84866023367 scopus 로고    scopus 로고
    • Rise and fall patterns of information diffusion: Model and implications
    • Y. Matsubara, Y. Sakurai, B. Prakash, L. Li, and C. Faloutsos. Rise and fall patterns of information diffusion: Model and implications. In KDD, 2012.
    • (2012) KDD
    • Matsubara, Y.1    Sakurai, Y.2    Prakash, B.3    Li, L.4    Faloutsos, C.5
  • 11
    • 0000222788 scopus 로고
    • Inside rumor: A personal journey
    • R. Rosnow. Inside rumor: A personal journey. American Psychologist, 46:484-496, 1991.
    • (1991) American Psychologist , vol.46 , pp. 484-496
    • Rosnow, R.1
  • 15
    • 35048900518 scopus 로고    scopus 로고
    • Application of breimans random forest to modeling structure-activity relationships of pharmaceutical molecules
    • V. Svetnik, A. Liaw, C. Tong, and T. Wang. Application of breimans random forest to modeling structure-activity relationships of pharmaceutical molecules. Multiple Classifier Systems, pages 334-343, 2004.
    • (2004) Multiple Classifier Systems , pp. 334-343
    • Svetnik, V.1    Liaw, A.2    Tong, C.3    Wang, T.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.