通信学报
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林海卓,王继龙,张颐哲,朱 晶
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摘要: 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。
Abstract: 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 addiction disorder made through AHP. Finally, Internet addiction prevention system is designed and implemented.
林海卓,王继龙,张颐哲,朱 晶. 高校网络沉迷与防沉迷系统的研究与实现[J]. 通信学报.
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https://www.infocomm-journal.com/txxb/CN/Y2014/V35/IZ1/33