Computer Science ›› 2013, Vol. 40 ›› Issue (10): 72-76.

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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

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

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