Working Paper Article Version 1 This version is not peer-reviewed

From Classical to Modern Opinion Dynamics

Version 1 : Received: 7 February 2020 / Approved: 9 February 2020 / Online: 9 February 2020 (14:42:50 CET)

How to cite: Noorazar, H.; Vixie, K.R.; Talebanpour, A.; Hu, Y. From Classical to Modern Opinion Dynamics. Preprints 2020, 2020020104 Noorazar, H.; Vixie, K.R.; Talebanpour, A.; Hu, Y. From Classical to Modern Opinion Dynamics. Preprints 2020, 2020020104

Abstract

In this age of Facebook, Instagram, and Twitter, there is rapidly growing interest in understanding network-enabled opinion dynamics in large groups of autonomous agents. The phenomena of opinion polarization, the spread of propaganda and fake news, and the manipulation of sentiment is of interest to large numbers of organizations and people. Whether it is the more nefarious players such as foreign governments that are attempting to sway elections or it is more open and above board, such as researchers who want to make large groups of people aware of helpful innovations, what is at stake is often significant. In this paper, we review opinion dynamics including the extensions of many classical models as well as some new models that deepen understanding. For example, we look at models that track the evolution of an individual’s power, that include noise, and that feature sequentially dependent topics, to name a few. While the first papers studying opinion dynamics appeared over 60 years ago, there is still a great deal of room for innovation and exploration. We believe that the political climate and the extraordinary (even unprecedented) events in the sphere of politics in the last few years will inspire new interest and new ideas. It is our aim to help those interested researchers understand what has already been explored in a significant portion of the field of opinion dynamics. We believe that in doing this, it will become clear that there is still much to be done.

Subject Areas

opinion game; opinion dynamics; social dynamic; social interaction; consensus; polarization

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our diversity statement.

Leave a public comment
Send a private comment to the author(s)
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.