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Volumn , Issue , 2013, Pages 177-178

Popularity prediction in microblogging network: A case study on sina weibo

Author keywords

Information diffusion; Microblogging; Popularity prediction; Social network; Structural diversity

Indexed keywords

SOCIAL NETWORKING (ONLINE);

EID: 84885066266     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (163)

References (7)
  • 1
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    • A.-L. Barab́asi. The origin of bursts and heavy tails in human dynamics. Nature, 435(7039):207-211, 2005.
    • (2005) Nature , vol.435 , Issue.7039 , pp. 207-211
    • Barab́asi, A.-L.1
  • 2
    • 36749025173 scopus 로고    scopus 로고
    • Novelty and collective attention
    • F. Wu, B. Huberman. Novelty and collective attention. Proc. Natl. Acad. Sci., 104(45):17599-17601, 2007.
    • (2007) Proc. Natl. Acad. Sci. , vol.104 , Issue.45 , pp. 17599-17601
    • Wu, F.1    Huberman, B.2
  • 3
    • 79952376390 scopus 로고    scopus 로고
    • Patterns of temporal variation in online media
    • Feb., Hong Kong
    • J. Yang, J. Leskovec. Patterns of temporal variation in online media. In Proc. of WSDM'11, pages 177-186, Feb. 2011, Hong Kong.
    • (2011) Proc. of WSDM'11 , pp. 177-186
    • Yang, J.1    Leskovec, J.2
  • 4
    • 77955233534 scopus 로고    scopus 로고
    • Predicting the popularity of online content
    • G. Szabo, B. A. Huberman. Predicting the popularity of online content. Commun. ACM, 53(8):80-88, 2010.
    • (2010) Commun. ACM , vol.53 , Issue.8 , pp. 80-88
    • Szabo, G.1    Huberman, B.A.2
  • 5
    • 77954619079 scopus 로고    scopus 로고
    • Using a model of social dynamics to predict popularity of news
    • Apr., Raleigh, USA
    • K. Lerman, T. Hogg. Using a model of social dynamics to predict popularity of news. In Proc. of WWW '10, pages 621-630, Apr. 2010, Raleigh, USA.
    • (2010) Proc. of WWW '10 , pp. 621-630
    • Lerman, K.1    Hogg, T.2
  • 6
    • 79955141054 scopus 로고    scopus 로고
    • Predicting popular messages in twitter
    • Mar., Byderabad, India
    • L. Hong, O. Dan, B. D. Davison. Predicting popular messages in twitter. In Proc. of WWW'11, pages 57-58, Mar. 2011, Byderabad, India.
    • (2011) Proc. of WWW'11 , pp. 57-58
    • Hong, L.1    Dan, O.2    Davison, B.D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.