Propagation Models and Analysis for Mobile Phone Data Analytics

Derek Doran, Veena Mendiratta

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

People in modern society use mobile phones as their primary way to retrieve information and to connect with others across the globe. The kinds of connections these devices support give rise to networks at many levels, from those among devices connected by near-field radio or bluetooth, to society-wide networks of phone calls made between individuals. This chapter introduces state-of-the-art propagation models that have been applied to understand such networks. It discusses how the models are used in many innovative studies, including how short-lived information spreads between phone callers, how malware spreads within public places, how to detect fraudulent and scamming activity on a phone network, and to predict the propensity of a user to unsubscribe from a mobile phone carrier. It concludes with a discussion of future research opportunities for the study of propagation modeling to mobile phone data analytics.

Original languageAmerican English
Title of host publicationPropagation Phenomena in Real World Networks
EditorsDariusz Król, Damien Fay, Bogdan Gabryś
PublisherSpringer Cham
Chapter11
Pages257-292
Edition1
ISBN (Electronic)978-3-319-15916-4
ISBN (Print)978-3-319-15915-7, 978-3-319-38220-3
DOIs
StatePublished - 2015

Publication series

NameIntelligent Systems Reference Library
ISSN (Print)1868-4394
ISSN (Electronic)1868-4408

Keywords

  • Network Science
  • Complex Systems
  • Propagation Phenomena
  • Diffusion
  • Mobile Phone
  • Data Analytics

Disciplines

  • Bioinformatics
  • Communication Technology and New Media
  • Databases and Information Systems
  • OS and Networks
  • Science and Technology Studies

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