Modeling and predicting the popularity of online contents with Cox proportional hazard regression model

Neurocomputing

Volumn 76, Issue 1, 2012, Pages 134-145

  Lee, Jong Gun ^a   Moon, Sue ^b   Salamatian, Kavé ^c  

^a ORANGE LABS   (France)

^b Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

^c Université de Savoie   (France)

Author keywords

Cox proportional hazard regression model; Popularity of online contents; Survival analysis

Indexed keywords

DATA SETS; DISCUSSION FORUM; EXTERNAL OBSERVER; ON-LINE CONTENTS; PARAMETRIC AND NON-PARAMETRIC APPROACHES; PROPORTIONAL HAZARDS; REGRESSION MODEL; RISK FACTORS; SOCIAL NETWORKS; SURVIVAL ANALYSIS; SURVIVAL DISTRIBUTIONS; SURVIVAL TIME; TWO-COMPONENT;

BIOINFORMATICS; CAMERAS; DISTRIBUTION FUNCTIONS; FORECASTING; HAZARDS; SOCIAL NETWORKING (ONLINE);

REGRESSION ANALYSIS;

ACCESS TO INFORMATION; ARTICLE; INFORMATION PROCESSING; INTERNET; MATHEMATICAL ANALYSIS; METHODOLOGY; NONPARAMETRIC TEST; ONLINE SYSTEM; PARAMETRIC TEST; PREDICTION; PRIORITY JOURNAL; PROPORTIONAL HAZARDS MODEL; RISK FACTOR; SOCIAL NETWORK; SURVIVAL RATE;

EID: 80555131166     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2011.04.040     Document Type: Article

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