A viral model of product adoption with antagonistic interactions

Sebastian F. Ruf, Philip E. Pare, Ji Liu, Carolyn L. Beck, Tamer Basar

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

Abstract

In this paper, we extend a viral model for product adoption which takes into account how an agent's (or subpop-ulation's) opinion affects the decision to adopt a product or not. Here the coupled adoption opinion model considers the case where the opinion dynamic evolves over a signed network, which captures antagonistic interactions between agents. These signed networks capture a more realistic class of opinion behaviors and lead to a rich set of adoption behaviors for the coupled model. The equilibria of this model are characterized and some stability properties of these equilibria are discussed. Further behavior of the coupled model is studied via simulation.

Original languageEnglish (US)
Title of host publication2019 American Control Conference, ACC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3382-3387
Number of pages6
ISBN (Electronic)9781538679265
StatePublished - Jul 2019
Event2019 American Control Conference, ACC 2019 - Philadelphia, United States
Duration: Jul 10 2019Jul 12 2019

Publication series

NameProceedings of the American Control Conference
Volume2019-July
ISSN (Print)0743-1619

Conference

Conference2019 American Control Conference, ACC 2019
CountryUnited States
CityPhiladelphia
Period7/10/197/12/19

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Ruf, S. F., Pare, P. E., Liu, J., Beck, C. L., & Basar, T. (2019). A viral model of product adoption with antagonistic interactions. In 2019 American Control Conference, ACC 2019 (pp. 3382-3387). [8815349] (Proceedings of the American Control Conference; Vol. 2019-July). Institute of Electrical and Electronics Engineers Inc..