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摘要

我们对手机用户的两个邻近网络Proximates网络和Reality Mining网络进行了比较探索性分析。两个网络的数据都是从两组用户携带的手机中收集的。定期进行蓝牙扫描,以检测是否有其他手机靠近。现实采矿项目于2004-2005年在麻省理工学院进行,而Proximates项目于2012-2013年在瑞典进行。我们证明了两个网络之间采样策略的差异对静态和动态指标都有影响。我们还发现,静态Proximates网络的基本指标比静态Reality Mining网络更能捕捉社会互动特征。
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A comparison of two proximity networks
We present a comparative exploratory analysis of two proximity networks of mobile phone users, the Proximates network and the Reality Mining network. Data for both networks were collected from mobile phones carried by two groups of users. Periodic Bluetooth scans were performed to detect the proximity of other mobile phones. The Reality Mining project took place in 2004-2005 at MIT, while Proximates took place in Sweden in 2012-2013. We show that the differences in sampling strategy between the two networks has effects on both static and dynamic metrics. We also find that fundamental metrics of the static Proximates network capture social interactions characteristics better than in the static Reality Mining network.
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