A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is
The widespread adoption of smart phones allows for the seamless capture of social interactions on a scale that was once impossible. Co-presence, collected using Bluetooth on the phones, faithfully represents such real-world social interactions. This social information can be transformed into communities, which can be leveraged into applications such as recommender systems and collaborative tools. However, correctly identifying communities is difficult. This paper presents TIE, a visualizationdoi:10.1109/dasc.2011.145 dblp:conf/dasc/BostonB11 fatcat:5fzsvu2bqfckhei6w5s5hyuq4q