基于位置的社交网络用户签到及相关行为研究

计算机科学 ›› 2013, Vol. 40 ›› Issue (10): 72-76.

基于位置的社交网络用户签到及相关行为研究

李敏,王晓聪,张军,刘正捷

大连海事大学信息科学技术学院大连116026;大连海事大学信息科学技术学院大连116026;大连海事大学信息科学技术学院大连116026;大连海事大学信息科学技术学院大连116026

出版日期:2018-11-16 发布日期:2018-11-16
基金资助:
本文受国家自然科学基金(61173035)和中央高校基本科研业务费专项资金(3132013041)资助

Study on Check-in and Related Behaviors of Location-based Social Network Users

LI Min,WANG Xiao-cong,ZHANG Jun and LIU Zheng-jie

Online:2018-11-16 Published:2018-11-16

摘要/Abstract

摘要： Web2.0时代,空间定位技术不断成熟,使得基于位置的社交网络(LBSN)快速发展。LBSN用户的典型行为是签到以及针对签到地进行评论等。探索用户签到及相关行为的规律及背后动机,可以更好地了解用户的需求,发现系统设计与用户需求的不匹配之处,这对LBSN类应用的设计和开发具有一定的指导意义。利用在线数据抓取工具GooSeeker抽样国内典型的LBSN嘀咕网的用户数据。通过对获取的数据进行处理、分析,获知用户签到行为特点。同时关注用户发布的签到地评论的内容,并且使用分类工具SVMCLS将用户对麦当劳的评论划分为不同的倾向级别,从而得到用户对麦当劳的主观情感倾向性。结果发现嘀咕网用户签到的时间和地点存在规律性特征。用户趋向于在签到地做出正面的评论,并且评论的内容比较简短。这些发现有助于LBSN类系统设计和开发人员更好地了解用户,获知用户的需求,最终完善自己的设计,为用户提供更好的应用服务。

关键词: 基于位置的社交网络,签到行为,评论,文本分析

Abstract: In Web 2.0era,location-based social networks(LBSNs) are increasingly developed along with the maturity of spatial positioning technology．The typical behaviors of LBSN users are checking-in and commenting at check-in places．Exploring the rules and motivations behind check-in and related behaviors can make better understand of users’ needs and find out the mismatches between system design and user needs,and it is meaningful for the design and development of LBSN applications．GooSeeker,an online data capture tool,was used to craw Digu which is one of the most typical Chinese LBSNs．After processing and analyzing the data,the features of check-in behaviors were known．At the same time,comments at check-in places were also analyzed．Taking comments at MacDonald as example,classification tool SVMCLS was used to classify the comments into different sentiment inclination levels．Ultimately,the rules and features of check-in times and places were presented,and it was also found that users tend to leave brief and positive comments at check-in places．All of the findings can help designers and developers get better understand of users and what users really needs,and then they can refine the designs and provide more appropriate applications and services to users.

Key words: Location-based social network,Check-in behavior,Comment,Text analysis

李敏,王晓聪,张军,刘正捷. 基于位置的社交网络用户签到及相关行为研究[J]. 计算机科学, 2013, 40(10): 72-76. https://doi.org/

LI Min,WANG Xiao-cong,ZHANG Jun and LIU Zheng-jie. Study on Check-in and Related Behaviors of Location-based Social Network Users[J]. Computer Science, 2013, 40(10): 72-76. https://doi.org/

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