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基于J48决策树算法的大学生社交网络游戏参与原因分析
引用本文:孙一品,齐剑川,秦华,钮伟芳,苏宁,钮建伟.基于J48决策树算法的大学生社交网络游戏参与原因分析[J].工业工程,2016,19(6):116.
作者姓名:孙一品  齐剑川  秦华  钮伟芳  苏宁  钮建伟
作者单位:1.北京科技大学 机械工程学院,北京100083;2.北京建筑大学 机电与车辆工程学院,北京 100044; 3.河北省荣军医院第10病区,河北 保定 071100;4.河北科技师范学院 物理系,河北 秦皇岛 066004
基金项目:国家留学基金委公派出国留学资助项目(201208110144);中央高校基本科研业务费专项资金资助项目(FRF-TP-14-026A2)
摘    要:随着SNS社交网站的发展,嵌套在其平台上的社交网络游戏已成为大学生的新宠,而大学生网络成瘾也成为社会各界关注的焦点。为研究大学生参与社交网络游戏的原因,本文通过网络发布问卷的方式对大学生参与社交网络游戏的情况进行调查,将收集到的信息转换成数据导入到数据挖掘软件WEKA中。采用J48决策树算法对数据进行分类处理,得到游戏参与情况的决策树模型。模型分析结果表明,大学生社交网络游戏玩家参与社交网络游戏的原因主要与家庭环境、生活状态以及网站的社交活性有关。家庭的完整性和幸福度是影响大学生参与SNS网络游戏的最重要原因之一,对待生活的心态同样影响大学生是否会选择参与社交网络游戏,而SNS网络广泛的社交性是促进大学生参与社交网络游戏的另一个重要原因。这些参与游戏的原因与大学生网络成瘾的原因部分重合,为预防大学生网络成瘾提供了依据。

关 键 词:社交网络游戏    J48决策树算法    网络成瘾  

An Analysis of the Causes of College Students′ Participation in Social Network Games Based on J48 Decision Tree Algorithm
SUN Yipin,QI Jianchuan,QIN Hua,NIU Weifang,SU Ning,NIU Jianwei.An Analysis of the Causes of College Students′ Participation in Social Network Games Based on J48 Decision Tree Algorithm[J].Industrial Engineering Journal,2016,19(6):116.
Authors:SUN Yipin  QI Jianchuan  QIN Hua  NIU Weifang  SU Ning  NIU Jianwei
Affiliation:

 1. School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China;2. School of Mechanical Electronic and Automobile Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China; 3.10th Ward, Hebei Rongjun Hospital, Baoding 071100, China; 4.Department of Physics, Hebei Normal University of Science and Technology, Qinhuangdao 066004, China

Abstract:Social network games, nested on the platform of social networking sites, have become a new favorite of college students. And college students′ Internet addiction has been of considerable interest to the academia in recent years. The reasons why college students participate in social network games are explored. A number of questionnaires are distributed through the Internet to collect information which needs to convert to data format and import into Waikato Environment for Knowledge Analysis (WEKA). And the decision tree model is obtained via the J48 decision tree algorithm. The results of the experiment indicate that college students′ social network game behavior is mainly related to family environment, living conditions and social networking sites activeness. The integrity and happiness degree of a family, together with college students′ attitude towards life and social networking sites activeness, are all important causes in social network game behavior. In addition, college students should be provided with effective strategies to prevent Internet game addiction because the reason of the participation is partly coincident with that of the Internet addiction of college students.
Keywords:social network game  J48 decision tree algorithm  Internet addiction  
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