基于位置的社交网络用户签到及相关行为研究

发布时间：2018-06-14 14:52

本文选题：基于位置的社交网络 + 签到行为　；参考：《计算机科学》2013年10期

【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。
[Abstract]:In the era of Web 2.0, the technology of spatial location has matured, which makes the location-based social network LBSNs develop rapidly. The typical behavior of LBSN users is to check in and comment on the check-in places. By exploring the rules and motives of user check-in and related behaviors, we can better understand the needs of users and find out the mismatch between system design and user needs, which has certain guiding significance for the design and development of LBSN class applications. The online data capture tool GooSeeker is used to sample the data of the typical LBSN mumbling net in China. By processing and analyzing the acquired data, the characteristics of user check-in behavior are obtained. At the same time, we pay attention to the content of the user issued check-in comments, and use SVMCLS to classify the users' comments on McDonald's into different tendency levels, so as to get the subjective emotional tendency of the users towards McDonald's. The results show that there are regular features in the time and place of user check-in. Users tend to make positive comments on check-in sites, and the comments are brief. These findings are helpful to the LBSN system design and developers to better understand users, know the needs of users, and ultimately perfect their own design, and provide users with better application services.
【作者单位】：大连海事大学信息科学技术学院;
【基金】：国家自然科学基金(61173035) 中央高校基本科研业务费专项资金(3132013041)资助
【分类号】：TP393.09

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