An Examination of Personal Mobility Patterns in Space and Time Using Twitter
An Examination of Personal Mobility Patterns in Space and Time Using Twitter
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DOI：
10.4018/ijaeis.2014070104
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发表时间：
2014-07-01
影响因子：
1.4
通讯作者：
Clarke, Martin
中科院分区：
文献类型：
--
作者：
Birkin, Mark;Harland, Kirk;Clarke, Martin
与个人移动性和活动模式有关的新数据源现在提供了一个独特的机会，可以在越来越大的空间和时间细化尺度上探索移动模式。在这篇文章中，来自Twitter社交网络平台的消息语料库进行了检查。提出了一种基于空间和时间使用频率的用户基本分类方法。不同的用户群体的行为进行了调查，在利兹的主要城市的小区域。在各个网络的配置中可以检测到实质性的变化。从基本的人口结构以及城市地区的基本形式和功能的角度对所产生的模式进行了解释。
New sources of data relating to personal mobility and activity patterns are now providing a unique opportunity to explore movement patterns at increasing scales of spatial and temporal refinement. In this article, a corpus of messages from the Twitter social networking platform are examined. An elementary classification of users is proposed on the basis of frequency of use in space and time. The behaviour of different user groups is investigated across small areas in the major conurbation of Leeds. Substantial variations can be detected in the configuration of individual networks. An interpretation of the patterns which result is provided in terms of the underlying demographic structures, and the basic form and function of the urban area.