How many places do you visit a day?

Michela Papandrea, Matteo Zignani, S. Gaito, S. Giordano, G. P. Rossi
{"title":"How many places do you visit a day?","authors":"Michela Papandrea, Matteo Zignani, S. Gaito, S. Giordano, G. P. Rossi","doi":"10.1109/PerComW.2013.6529485","DOIUrl":null,"url":null,"abstract":"People mobility enormously augmented in the last decades. However, despite the increased possibilities of fast reaching far places, the places that a person commonly visits remain limited in number. The number of visited places of each person is regulated by some laws that are statistically similar among individuals. In our previous work, we firstly argued that a person visit most frequently always few places, and we confirmed that by some initial experiments. Here, in addition to further validating this result, we build a more sophisticate view of the places visited by the people. Namely, on top of our previous work, which identifies the class of Mostly Visited Points of Interest, we define two next classes: the Occasionally and the Exceptionally Visited Points of Interest classes. We argue and validate on real data, that also the occasional places are very limited in number, while the exceptional ones can grow at will, and by the analysis of the classes of visited points we can distinguish the type of users mobility. This paper firstly demonstrates this property in large experimental scenario, and put the basis for new understanding of people places in several areas as localization, social interactions and human mobility modelling.","PeriodicalId":101502,"journal":{"name":"2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"26","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PerComW.2013.6529485","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 26

Abstract

People mobility enormously augmented in the last decades. However, despite the increased possibilities of fast reaching far places, the places that a person commonly visits remain limited in number. The number of visited places of each person is regulated by some laws that are statistically similar among individuals. In our previous work, we firstly argued that a person visit most frequently always few places, and we confirmed that by some initial experiments. Here, in addition to further validating this result, we build a more sophisticate view of the places visited by the people. Namely, on top of our previous work, which identifies the class of Mostly Visited Points of Interest, we define two next classes: the Occasionally and the Exceptionally Visited Points of Interest classes. We argue and validate on real data, that also the occasional places are very limited in number, while the exceptional ones can grow at will, and by the analysis of the classes of visited points we can distinguish the type of users mobility. This paper firstly demonstrates this property in large experimental scenario, and put the basis for new understanding of people places in several areas as localization, social interactions and human mobility modelling.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
你一天参观几个地方?
在过去的几十年里,人们的流动性大大增强了。然而,尽管快速到达遥远地方的可能性增加了,人们经常去的地方数量仍然有限。每个人访问的地方的数量是由一些法律规定的,这些法律在统计上是相似的。在我们之前的工作中,我们首先提出一个人去的最频繁的地方总是很少的,我们通过一些初步的实验证实了这一点。在这里,除了进一步验证这一结果外,我们还建立了一个更复杂的人们访问过的地方的视图。也就是说,在我们之前的工作的基础上,我们确定了最常访问的兴趣点类,我们定义了两个接下来的类:偶尔访问的兴趣点类和特别访问的兴趣点类。我们在真实数据上论证和验证,偶尔出现的地点数量也非常有限,而特殊的地方可以随意增长,通过对访问点的分类分析,我们可以区分用户移动的类型。本文首先在大型实验场景中证明了这一特性,并在定位、社会互动和人类流动建模等几个领域为人们对地点的新理解奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A reconfigurable distributed CEP middleware for diverse mobility scenarios TinyBox: Social, local, mobile content sharing PIggy-backed key exchange using online services (PIKE) Towards context-aware internet services with unselfish clients Recommendations-based location privacy control
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1