@inproceedings{5dbf38ee89ab4d4aa4491532974a8853,
title = "A viral model of product adoption with antagonistic interactions",
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.",
author = "Ruf, {Sebastian F.} and Pare, {Philip E.} and Ji Liu and Beck, {Carolyn L.} and Tamer Basar",
note = "Funding Information: S.F. Ruf is with the Center for Complex Networks Research at North-eastern University (s.ruf@northeastern.edu). P.E. Par{\'e}, C.L. Beck, and T. Bas¸ar are with the Coordinated Science Laboratory at the University of Illinois at Urbana-Champaign (philip.e.pare@gmail.com, beck3@illinois.edu, basar1@illinois.edu). J. Liu is with the Department of Electrical and Computer Engineering at Stony Brook University (ji.liu@stonybrook.edu). This material is based on research partially sponsored by the National Science Foundation, grants CPS 1544953 and ECCS 1509302.; 2019 American Control Conference, ACC 2019 ; Conference date: 10-07-2019 Through 12-07-2019",
year = "2019",
month = jul,
doi = "10.23919/acc.2019.8815349",
language = "English (US)",
series = "Proceedings of the American Control Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3382--3387",
booktitle = "2019 American Control Conference, ACC 2019",
address = "United States",
}