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。
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.
出处
《计算机工程》
CAS
CSCD
2012年第8期246-248,251,共4页
Computer Engineering
基金
国家科技重大专项基金资助项目"移动互联网网络与信息安全技术研究"(2011ZX03002-005-02)
重庆大学研究生教育改革基金资助项目(2010JGXM015)
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
network video
adverse video
survival analysis
active curve
prognostic index
impact factor
