Understanding call logs of smartphone users for making future calls

Mehwish Nasim, Aimal Rextin, Numair Khan, Muhammad Muddassir Malik

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2016
PublisherAssociation for Computing Machinery, Inc
Pages483-490
Number of pages8
ISBN (Electronic)9781450344081
DOIs
Publication statusPublished - 6 Sep 2016
Externally publishedYes
Event18th International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2016 - Florence, Italy
Duration: 6 Sep 20169 Sep 2016

Publication series

NameProceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2016

Conference

Conference18th International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2016
Country/TerritoryItaly
CityFlorence
Period6/09/169/09/16

Keywords

  • Call logs
  • Mobile phones
  • Temporal patterns
  • Time series

Fingerprint

Dive into the research topics of 'Understanding call logs of smartphone users for making future calls'. Together they form a unique fingerprint.

Cite this