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Analysis of Mobile Phone Call Data to Determine User Characteristics and to Enhance User Experience

Published on May 2012 by S. R. Subramanya
journal_cover_thumbnail

National Conference on Recent Trends in Computing
Foundation of Computer Science USA
NCRTC - Number 9
May 2012
Authors: S. R. Subramanya
cd432265-6f6a-4ce9-9153-748bdd4e9171

S. R. Subramanya . Analysis of Mobile Phone Call Data to Determine User Characteristics and to Enhance User Experience. National Conference on Recent Trends in Computing. NCRTC, 9 (May 2012), 9-13.

@article{
author = { S. R. Subramanya },
title = { Analysis of Mobile Phone Call Data to Determine User Characteristics and to Enhance User Experience },
journal = { National Conference on Recent Trends in Computing },
issue_date = { May 2012 },
volume = { NCRTC },
number = { 9 },
month = { May },
year = { 2012 },
issn = 0975-8887,
pages = { 9-13 },
numpages = 5,
url = { /proceedings/ncrtc/number9/6582-1072/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Recent Trends in Computing
%A S. R. Subramanya
%T Analysis of Mobile Phone Call Data to Determine User Characteristics and to Enhance User Experience
%J National Conference on Recent Trends in Computing
%@ 0975-8887
%V NCRTC
%N 9
%P 9-13
%D 2012
%I International Journal of Computer Applications
Abstract

Mobile phones have become ubiquitous in a very short time, having the highest penetration among all known technologies, with over 5 Billion users worldwide, and growing. Even the feature phones generate a variety of data during normal usage of the phone, while the smartphones generate even greater amounts of data with high-speed data accesses. Analyses of these data in combination with rule bases and heuristics would yield a wealth of information on the characteristics, personality, and lifestyle of the user. In this paper, we present a scheme which uses analysis of a typical mobile feature phone call data to yield interesting and useful results which would enable determination of some of the mobile user characteristics and enable possible productivity improvements.

References
  1. J. Candia, et. al. 2008. Uncovering individual and collective human dynamics from mobile phone records. J. Phys. A: Math. Theor. 41. 11pp.
  2. S. G. Punja and R. P. Mislan. 2008. Mobile Device Analysis. Small Scale Digital Device Forensics Journal, 2(1), June 2008 ISSN# 1941-6164
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  4. http://hal-ens. archives-ouvertes. fr/docs/00/62/71/22/ PDF/ socialcom_2011. pdf
  5. S. Isaacman, et. al. 2010. A Tale of Two Cities. Workshop on the Analysis of Mobile Phone Networks MIT, Cambridge, May 2010, 50-52.
  6. F. Calabrese, et. al. 2010. Analyzing cell-phone mobility and social events. Workshop on the Analysis of Mobile Phone Networks MIT, Cambridge, May 2010, 59-61.
Index Terms

Computer Science
Information Sciences

Keywords

Mobile Phones Phone Call Data Mobile User Characteristics Mobile User Experience