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Volumn , Issue PART 3, 2013, Pages 1703-1711

Modeling information propagation with survival theory

Author keywords

[No Author keywords available]

Indexed keywords

DATA PROCESSING; LEARNING SYSTEMS; RISK ASSESSMENT; RISK PERCEPTION;

EID: 84897519961     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (81)

References (23)
  • 2
    • 84870054871 scopus 로고    scopus 로고
    • Generating survival times to simulate cox proportional hazards models with time-varying covariates
    • Austin, P.C. Generating survival times to simulate cox proportional hazards models with time-varying covariates. Statistics in Medicine, 2012.
    • (2012) Statistics in Medicine
    • Austin, P.C.1
  • 16
    • 42449155545 scopus 로고    scopus 로고
    • Tracing the flow of information on a global scale using Internet chain-letter data
    • Liben-Nowell, David and Kleinberg, Jon. Tracing the flow of information on a global scale using Internet chain-letter data. Proceedings of the National Academy of Sciences, 105(12):4633-4638, 2008.
    • (2008) Proceedings of the National Academy of Sciences , vol.105 , Issue.12 , pp. 4633-4638
    • Liben-Nowell, D.1    Kleinberg, J.2
  • 21
    • 70549111711 scopus 로고    scopus 로고
    • Learning continuous-time information diffusion model for social behavioral data analysis
    • Saito, K., Kimura, M., Ohara, K., and Motoda, H. Learning continuous-time information diffusion model for social behavioral data analysis. Advances in Machine Learning, pp. 322-337, 2009.
    • (2009) Advances in Machine Learning , pp. 322-337
    • Saito, K.1    Kimura, M.2    Ohara, K.3    Motoda, H.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.