基于Apriori和Gri算法的我国网民网络活动关联规则分析  被引量:1

An Association Rules Analysis on China’s Internet Users Network Activities Based on Apriori and Gri Algorithm

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作  者:黄文静 HUANG Wen-jing(School of Finance and Economics,Jiangsu University,Zhenjiang 212013,China)

机构地区:[1]江苏大学财经学院,江苏镇江212013

出  处:《经济研究导刊》2020年第10期130-135,共6页Economic Research Guide

基  金:江苏高校哲学社会科学重点项目“新常态下江苏文化产业供给侧结构性改革动力与增长潜力研究”(2017ZDIXM037)。

摘  要:网络活动已成为人们日常生活的重要组成部分,研究我国网民网络活动对促进"互联网+"经济发展以及网民网络活动向着健康有益的方向发展具有重要的理论和现实意义。运用关联规则挖掘的Apriori算法和Gri算法,对网民网络活动间的关联性以及网民特征与网络活动的关联性进行分析。研究表明,上网聊天、了解新闻资讯、收发邮件、观看视频、购物与收集资料、下载资源和软件密切关联;玩游戏、购物、观看视频、收集资料、下载资源和软件与上网聊天密切关联;未婚大学生网民进行收集资料、下载资源和软件的网络活动,从而获得对学习有益的信息和资源,上网聊天也已成为青年人的主要网络活动形式;本科大学男生更喜欢玩游戏,而城镇已婚男性或者学历为硕士研究生的网民偏爱于了解新闻资讯。Network activities have become an important part of daily life.Studying the network activities of China’s Internet users has the theoretical and practical significance to promote the"Internet Plus"economic development and the development of China’s Internet users network activities towards a more beneficial direction.This paper applies Apriori algorithm and Gri algorithm to analyze the correlation among network activities and between Internet users and network activities.The result shows,Chatting on the Internet,reading the newspaper and magazines,sending and receiving e-mails,watching the video and shopping are closely related to collecting information,downloading resources and software;Playing games,shopping,watching the video,collecting information,downloading resources and software are closely related to chatting on the Internet;Unmarried college Internet users often collecting information,downloading resources and software,which are useful to study;Chatting on the Internet has become the main form of network activities for young people;Undergraduate college boys prefer to play games,and urban married men or academic qualifications for postgraduates preferred to understand the newspaper or magazines.

关 键 词:网络活动 关联规则 APRIORI算法 Gri算法 

分 类 号:F224[经济管理—国民经济]

 

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