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

Abstract

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

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

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