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Analysis of large call data records with big data

Published: 01 October 2014 Publication History

Abstract

Mobile communication flows describe the on-going traffic on the network and are therefore a good indication of what is happening. Analysing these flows can improve the overall quality offered to the users and it can enable operators to detect abnormal patterns and react.
This paper will focus on the analysis of cellular communications records. By using the collected call and message exchanges we present a method based on the PageRank algorithm that detects abnormal communications events. Taking the number of calls and the total call duration as parameters we use a weighted version of the PageRank algorithm to further investigate the influence of these parameters on the connected network graph. We proceed by correlating the results obtained with events happening in the respective region and at that time.

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  • (2019)Lean information for lean communicationInternational Journal of Information Management: The Journal for Information Professionals10.1016/j.ijinfomgt.2018.12.01847:C(31-43)Online publication date: 1-Aug-2019
  • (2016)Preliminary big data in a 5G test network2016 IEEE International Conference on Big Data (Big Data)10.1109/BigData.2016.7840918(2722-2727)Online publication date: Dec-2016

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cover image ACM Other conferences
IPTComm '14: Proceedings of the Conference on Principles, Systems and Applications of IP Telecommunications
October 2014
65 pages
ISBN:9781450321242
DOI:10.1145/2670386
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 01 October 2014

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Author Tags

  1. big data processing
  2. call data record analysis
  3. call pattern detection
  4. page rank

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IPTComm '14

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Overall Acceptance Rate 18 of 62 submissions, 29%

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View all
  • (2024)TeleForensic: Delving into Digital Evidence with CDR Forensics2024 IEEE International Conference on Blockchain and Distributed Systems Security (ICBDS)10.1109/ICBDS61829.2024.10837446(1-5)Online publication date: 17-Oct-2024
  • (2019)Lean information for lean communicationInternational Journal of Information Management: The Journal for Information Professionals10.1016/j.ijinfomgt.2018.12.01847:C(31-43)Online publication date: 1-Aug-2019
  • (2016)Preliminary big data in a 5G test network2016 IEEE International Conference on Big Data (Big Data)10.1109/BigData.2016.7840918(2722-2727)Online publication date: Dec-2016

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