Analyzing scale-free property on human serendipitous encounters using mobile phone data
Analyzing scale-free property on human serendipitous encounters using mobile phone data
复制标题
使用手机数据分析人类偶然遭遇的无标度属性
DOI：
10.1145/2837126.2837180
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Akihiro Fujihara
中科院分区：
文献类型：
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作者：
監修：藤島一郎;大城昌平;編集：吉本好延;監修：藤島一郎，大城昌平 編集：吉本好延;三嶋智之，藤根悦子，末政朱美，服部高幸，岩崎尚美;酒井勇輔，藤原明広;ジナッタポーン カムスリ，藤原明広;Akihiro Fujihara;藤原明広;藤原明広;Akihiro Fujihara
最近为了研究目的而扩大使用移动电话数据集，不仅可以研究人类的活动模式，还可以研究人类接触模式，包括近距离接触、面对面会面和偶然相遇。在我们之前的工作中，我们分析了我们的长期实验数据集，定期扫描发射近距离无线电波的无线通信设备，以调查人类偶然相遇的频率。结果，我们发现人类偶然相遇的频率具有无标度性质，其中相遇次数是高度有偏的，其平均值为零。我们的数据集不是大数据(我们实验的参与者人数是几十人)，但它是长数据，但这一属性是普遍观察到的。重要的是，从多边角度检查手机数据是否也支持人类偶然相遇的这一基本属性。手机数据是常用的大数据集之一。本文利用包含数十万条人类活动轨迹的D4D挑战赛塞内加尔的手机数据，研究了人类接触频率的无标度特性。由于提供的数据分辨率不够高，无法探测到人类在附近准确相遇，我们粗略地假设，被认为被放置在同一个细胞塔周围的人类彼此相遇。尽管有这个粗略的假设，我们还是成功地复制了无标度性质。
The recent expanded use of mobile phone dataset for research purpose enables studies not only on human mobility patterns, but also on human contact patterns including proximal contact, face-to-face meeting, and serendipitous encounter. In our previous work, we analyze our dataset of long-term experiment with periodic scanning of proximal devices emitting close-range radio waves for wireless communication to investigate the frequency of human serendipitous encounters. As a result, we have found that the frequency of human serendipitous encounter has a scale-free property where the number of encounters is highly biased and its average means nothing. Our dataset is not Big data (the number of participants in our experiment is a few dozen), but it is Long data, but the property is universally observed. It is important to check from a multilateral perspective whether mobile phone data, which is one of well-used Big datasets, also support this fundamental property of human serendipitous encounter. In this paper, we investigate the scale-free property of human contact frequency using mobile phone data of D4D Challenge Senegal which contains hundreds thousands of human mobility traces. Because the data is not provided with high resolution enough to detect exact human encounter at proximity, we roughly assumed that humans who are considered to be placed around the same cell tower encounter with each other. Despite this rough assumption, we successfully reproduce the scale-free property.