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Volumn , Issue , 2010, Pages 241-250

Learning influence probabilities in social networks

Author keywords

Influence; Social networks; Viral marketing

Indexed keywords

DATA SETS; MODEL PARAMETERS; PREDICTION PERFORMANCE; SOCIAL GRAPHS; SOCIAL NETWORKS; VIRAL MARKETING;

EID: 77950933438     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1718487.1718518     Document Type: Conference Paper
Times cited : (984)

References (23)
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    • S. Hill, F. Provost, and C. Volinsky. Network-based marketing: Identifying likely adopters via consumer networks. Statistical Science, 21(2):256Ucombining double acute accent-276, 2006.
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    • Hill, S.1    Provost, F.2    Volinsky, C.3
  • 11
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    • An analysis of approximations for maximizing submodular set functionsŮi
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    • Nemhauser, G.L.1    Wolsey, L.A.2    Fisher, M.L.3
  • 20
    • 77950953800 scopus 로고    scopus 로고
    • Challenging the influentials hypothesis
    • D. Watts. Challenging the influentials hypothesis. WOMMA Measuring Word of Mouth, Volume 3, pages 201-211, 2007.
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    • Watts, D.1
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    • Propagation models for trust and distrust in social networks
    • C.-N. Ziegler and G. Lausen. Propagation models for trust and distrust in social networks. Information Systems Frontiers, 7(4-5):337-358, 2005.
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    • Ziegler, C.-N.1    Lausen, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.