Information in tweets: Analysis of a bufferless timing channel model

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

There has been a considerable interest in quantifying the influence that one node exerts on another in a social network. Using directed information, we study the problem for a simple, two-node network that models two users in a Twitter network in which one user (Alice) influences the other user (Bob) through her tweets. Under this setup, we relate the problem of direction of influence to the calculation of directed information from the input to the output in a bufferless single-server timing queue. Based on this relationship, we compute the directed information rate from Alice to Bob and, under simplifying assumptions, relate that rate to the distributions of Alice's tweet timings and Bob's action timings.

Original languageEnglish (US)
Title of host publication2014 IEEE International Symposium on Information Theory, ISIT 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages826-830
Number of pages5
ISBN (Print)9781479951864
DOIs
StatePublished - Jan 1 2014
Event2014 IEEE International Symposium on Information Theory, ISIT 2014 - Honolulu, HI, United States
Duration: Jun 29 2014Jul 4 2014

Other

Other2014 IEEE International Symposium on Information Theory, ISIT 2014
CountryUnited States
CityHonolulu, HI
Period6/29/147/4/14

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Information Systems
  • Modeling and Simulation
  • Applied Mathematics

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