메뉴 건너뛰기




Volumn , Issue , 2015, Pages 9-10

Modeling and predicting popularity dynamics of microblogs using self-excited hawkes processes

Author keywords

Microblogs; Popularity dynamics; Popularity prediction

Indexed keywords

DYNAMICS; FORECASTING; POISSON DISTRIBUTION; REINFORCEMENT;

EID: 84968561545     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2740908.2742744     Document Type: Conference Paper
Times cited : (94)

References (5)
  • 1
    • 84885066266 scopus 로고    scopus 로고
    • Popularity prediction in microblogging network: A case study on sina weibo
    • Brazil
    • P. Bao, H. W. Shen, J. Huang, X. Q. Cheng. Popularity Prediction in Microblogging Network: A Case Study on Sina Weibo. In Proc. of WWW '13, pp. 177-178, Brazil.
    • Proc. of WWW '13 , pp. 177-178
    • Bao, P.1    Shen, H.W.2    Huang, J.3    Cheng, X.Q.4
  • 2
    • 57349194232 scopus 로고    scopus 로고
    • Robust dynamic classes revealed by measuring the response function of a social system
    • R. Crane, D. Sornette. Robust dynamic classes revealed by measuring the response function of a social system. Proc. Natl. Acad. Sci., 105(41): 15649-15653, 2008.
    • (2008) Proc. Natl. Acad. Sci. , vol.105 , Issue.41 , pp. 15649-15653
    • Crane, R.1    Sornette, D.2
  • 4
    • 84906671126 scopus 로고    scopus 로고
    • Modeling and predicting popularity dynamics via reinforced poisson processes
    • Canada
    • H. W. Shen, D. Wang, C. Song, A.-L. Barabási. Modeling and Predicting Popularity Dynamics via Reinforced Poisson Processes. In Proc. of AAAI '14, pp. 291-297, Canada.
    • Proc. of AAAI '14 , pp. 291-297
    • Shen, H.W.1    Wang, D.2    Song, C.3    Barabási, A.-L.4
  • 5
    • 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


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.