@inproceedings{b244f35d548d412aa3d931e2d0a5b8d1,
title = "Understanding call logs of smartphone users for making future calls",
abstract = "In this measurement study, we analyze whether mobile phone users exhibit temporal regularity in their mobile communication. To this end, we collected a mobile phone usage dataset from a developing country - Pakistan. The data consists of 783 users and 229, 450 communication events. We found a number of interesting patterns both at the aggregate level and at dyadic level in the data. Some interesting results include: the number of calls to different alters consistently follow the rank-size rule; a communication event between an ego-alter(user-contact) pair greatly increases the chances of another communication event; certain ego-alter pairs tend to communicate more over weekends; ego-alter pairs exhibit autocorrelation in various time quantum. Identifying such idiosyncrasies in the ego-alter communication can help improve the calling experience of smartphone users by automatically (smartly) sorting the call log without any manual intervention.",
keywords = "Call logs, Mobile phones, Temporal patterns, Time series",
author = "Mehwish Nasim and Aimal Rextin and Numair Khan and Malik, {Muhammad Muddassir}",
note = "Publisher Copyright: {\textcopyright} 2016 ACM.; 18th International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2016 ; Conference date: 06-09-2016 Through 09-09-2016",
year = "2016",
month = sep,
day = "6",
doi = "10.1145/2935334.2935350",
language = "English",
series = "Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2016",
publisher = "Association for Computing Machinery (ACM)",
pages = "483--490",
booktitle = "Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2016",
address = "United States",
}