Skip to main navigation Skip to search Skip to main content

An agent-based model for simultaneous phone and SMS traffic over time

  • Carnegie Mellon University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

The present work describes a utility-based, multi-agent, dynamic network model of phone call and SMS traffic in a population. The simulation is novel in its ability to generate interactions from both an asymmetric and a symmetric media simultaneously. Within the model, we develop and test a simple extension to the theory of media multiplexity, a well-known theory of how humans use the communication media available to them with different alters (friends). Model output qualitatively matches patterns in real data at the network-level and with respect to how humans use SMS and voice calls with different alters and thus shows general support for our theoretical claim.

Original languageEnglish
Title of host publicationSocial Computing, Behavioral-Cultural Modeling and Prediction - 6th International Conference, SBP 2013, Proceedings
Pages65-74
Number of pages10
DOIs
StatePublished - 2013
Event6th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction, SBP 2013 - Washington, DC, United States
Duration: Apr 2 2013Apr 5 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7812 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction, SBP 2013
Country/TerritoryUnited States
CityWashington, DC
Period04/2/1304/5/13

Keywords

  • agent-based modeling
  • dynamic networks
  • interpersonal communication theory

Fingerprint

Dive into the research topics of 'An agent-based model for simultaneous phone and SMS traffic over time'. Together they form a unique fingerprint.

Cite this