DTU Compute, Technical University of Denmark, DK-2800 Kgs. Lyngby, Denmark.
Center for Social Data Science, DK-1353, Copenhagen, Denmark.
Sci Data. 2019 Dec 11;6(1):315. doi: 10.1038/s41597-019-0325-x.
We describe the multi-layer temporal network which connects a population of more than 700 university students over a period of four weeks. The dataset was collected via smartphones as part of the Copenhagen Networks Study. We include the network of physical proximity among the participants (estimated via Bluetooth signal strength), the network of phone calls (start time, duration, no content), the network of text messages (time of message, no content), and information about Facebook friendships. Thus, we provide multiple types of communication networks expressed in a single, large population with high temporal resolution, and over a period of multiple weeks, a fact which makes the dataset shared here unique. We expect that reuse of this dataset will allow researchers to make progress on the analysis and modeling of human social networks.
我们描述了一个多层时间网络，它连接了超过 700 名大学生，时间跨度为四周。该数据集是通过智能手机收集的，是哥本哈根网络研究的一部分。我们包括参与者之间的物理接近网络（通过蓝牙信号强度估计）、电话网络（开始时间、持续时间、无内容）、短信网络（消息时间、无内容）以及 Facebook 好友信息。因此，我们提供了多种类型的通信网络，以单一、大规模的人群表示，具有高时间分辨率，并且在多个星期的时间内，这使得这里共享的数据集具有独特性。我们希望此数据集的再利用将使研究人员能够在人类社交网络的分析和建模方面取得进展。
