高校网络沉迷与防沉迷系统的研究与实现

doi:10.3969/j.issn.1000-436x.2014.z1.033

通信学报 ›› 2014, Vol. 35 ›› Issue (Z1): 170-177.doi: 10.3969/j.issn.1000-436x.2014.z1.033

高校网络沉迷与防沉迷系统的研究与实现

林海卓^1,²,王继龙^1,²,张颐哲^1,²,朱晶^1,²

¹ 清华大学网络科学与网络空间研究院，北京 100084
² 清华大学计算机科学与技术系，北京 100084

出版日期:2014-10-25 发布日期:2017-06-19
基金资助:
国家重点基础研究发展计划(“973”计划)基金资助项目

Research and implementation on college students internet addiction disorder and anti-addict system

Hai-zhuo LIN^1,²,Ji-long WANG^1,²,Yi-zhe ZHANG^1,²,Jing ZHU^1,²

¹ Academy of Network Science and Cyber Space,Tsinghua University,Beijing 100084,China
² Department of Computer Science and Technology,Tsinghua University,Beijing 100084,China

Online:2014-10-25 Published:2017-06-19
Supported by:
The National Basic Research Program of China (973 Program)

摘要/Abstract

摘要：

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。

关键词: 网络沉迷, 网络游戏, 社交网络, 防沉迷系统, 层次结构分析法

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.

Key words: internet addiction disorder, online games, social network, anti-addict system, AHP

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, 2014, 35(Z1): 170-177.

Hai-zhuo LIN,Ji-long WANG,Yi-zhe ZHANG,Jing ZHU. Research and implementation on college students internet addiction disorder and anti-addict system[J]. Journal on Communications, 2014, 35(Z1): 170-177.

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参考文献 10

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类型	总时长	平均连续时长	频率	时间分布
网络游戏沉迷	6%(94)	36%(64)	14%(86)	78%(22)
网络视频沉迷	84%(16)	55%(45)	91%(9)	80%(20)
社交网站沉迷	21%(79)	43%(57)	15%(85)	64%(36)

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高校网络沉迷与防沉迷系统的研究与实现

Research and implementation on college students internet addiction disorder and anti-addict system

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