Social Network Signal Processing for Cyber-Physical Systems

T. Abdelzaher, S. Wang, P. Giridhar, T. A. Amin, P. Seetharamu, H. Roy, H. Wang, L. Kaplan, E. Bowman, J. George

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This chapter demonstrates the utility of exploiting signal processing techniques common to physical sensing modalities in order to reconstruct conditions of the physical world from social network feeds. We show that, as a sensing modality, social sensing is not unlike acoustic, vibration, or magnetic sensing. A mathematical analogy is presented between social networks and physical media that allows adaptation of signal processing algorithms derived for the latter to solve novel challenges observed in the former. The chapter describes examples of event identification and tracking using Twitter and Instagram data, and presents the underlying analytical foundations.

Original languageEnglish (US)
Title of host publicationCyber-Physical Systems
Subtitle of host publicationFoundations, Principles and Applications
PublisherElsevier Inc.
Pages161-174
Number of pages14
ISBN (Electronic)9780128038741
ISBN (Print)9780128038017
DOIs
StatePublished - Jan 1 2017

Keywords

  • Data fusion
  • Signal processing
  • Social networks

ASJC Scopus subject areas

  • Computer Science(all)

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