Opinion dynamics are proximal dynamics in multi-agent network games

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

2 Citations (Scopus)

Abstract

In this paper, we show that opinion dynamics in social networks as considered in the literature are proximal dynamics in multi-agent network games. We adopt an operator theoretic perspective to show global convergence to an equilibrium for multi-dimensional, interdependent, constrained opinion dynamics on social networks. We illustrate opinion dynamics on complex networks via numerical simulations.

Original languageEnglish
Title of host publicationProceedings 2017 IEEE 56th Annual Conference on Decision and Control (CDC 2017)
EditorsA Astolfi, M Sznaier, C Lagao, L Zaccarian
Place of PublicationPiscataway, NJ, USA
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages3835-3840
ISBN (Electronic)9781509028733
DOIs
Publication statusPublished - 2017
EventCDC 2017: 56th IEEE Annual Conference on Decision and Control - Melbourne, Australia
Duration: 12 Dec 201715 Dec 2017
http://cdc2017.ieeecss.org/

Conference

ConferenceCDC 2017: 56th IEEE Annual Conference on Decision and Control
CountryAustralia
CityMelbourne
Period12/12/1715/12/17
OtherThe CDC is recognized as the premier scientific and engineering conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, systems and control, and related areas.
Internet address

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  • Cite this

    Grammatico, S. (2017). Opinion dynamics are proximal dynamics in multi-agent network games. In A. Astolfi, M. Sznaier, C. Lagao, & L. Zaccarian (Eds.), Proceedings 2017 IEEE 56th Annual Conference on Decision and Control (CDC 2017) (pp. 3835-3840). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/CDC.2017.8264223