CAJ | 학술논문

基于教育网流量分析，提出游戏服务商 IP 地址发现机制，包括 Boilerpipe 正文抽取算法以及 Stanford Chinese NLP中文分词算法，通过流量分析技术发现与分析大学生网络沉迷现象的一般方法和计算框架。统计了学生在网络游戏、视频观看、社交网站访问这3个常见的网络沉迷行为，包括总时长、连续沉迷时间、频率、沉迷时间段选择等关键指标。提出网络沉迷指数的概念并通过层次分析法对沉迷现象进行定量化研究。进一步基于网络沉迷指数模型设计和实现了网络防沉迷系统。
기우교육망류량분석，제출유희복무상 IP 지지발현궤제，포괄 Boilerpipe 정문추취산법이급 Stanford Chinese NLP중문분사산법，통과류량분석기술발현여분석대학생망락침미현상적일반방법화계산광가。통계료학생재망락유희、시빈관간、사교망참방문저3개상견적망락침미행위，포괄총시장、련속침미시간、빈솔、침미시간단선택등관건지표。제출망락침미지수적개념병통과층차분석법대침미현상진행정양화연구。진일보기우망락침미지수모형설계화실현료망락방침미계통。
Based on the traffic analysis on Cernet2, a new discovery mechanism of games service provider IP address is proposed, including Boilerpipe text extraction algorithm and Stanford Chinese NLP, realize this new general method and computing architecture of college student internet addiction. Three kinds of Internet addiction behaviors-online games, video viewing and social networking sites visit, including the total hours spend, length of continuous addiction, frequency, selected time of addiction are analyzed. Concept of Internet addiction disorder index is proposed with quantization on the internet ad-diction disorder made through AHP. Finally, Internet addiction prevention system is designed and implemented.