摘要： 根据互联网中正常视频与不良视频传播的有效活跃期及其影响因素，采用生存分析方法对视频传播过程进行分析。利用COX比例风险回归模型研究影响视频有效活跃期的影响因子。研究结果表明，不良视频的活跃时间比正常视频的活跃时间更长，视频内容对网络视频活跃有效期有一定影响。

关键词: 网络视频, 不良视频, 生存分析, 活跃曲线, 预后指数, 影响因子

Abstract: Aiming at the effective active period and its influencing factors of the normal video and adverse video in the Internet, this paper uses the method of survival analysis to discuss the network video propagation. In order to find the risk factors which influence the effective time, it takes advantage of the COX’s proportional hazard regression model. Research results indicate that the effective time of adverse videos is longer than the normal. It is also found that the video content has great impact on the active time of network video.

Key words: network video, adverse video, survival analysis, active curve, prognostic index, impact factor

中图分类号: 

• TP391.4