Abstract
This article presents a stochastic opinion dynamics model where (a) the opinion of each agent in a network is modeled as a probability distribution as against a point object, (b) consensus is defined as the stability region of the ensuing set of stochastic difference equations, and (c) compromise solutions can be derived between agents who don't have a consensus. The model is well suited for tracking opinion dynamics over large online systems such as Twitter and Yelp where opinions need to be extracted from the user-generated text data. Theoretical conditions for the existence of consensus and the impact that stubborn agents have on opinion dynamics are also presented.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 20-42 |
| Number of pages | 23 |
| Journal | International Journal of Business Analytics |
| Volume | 6 |
| Issue number | 1 |
| DOIs | |
| State | Published - Jan 1 2019 |
Keywords
- Consensus
- Opinion Dynamics
- Opinion Formation
- Opinion Update
- Stochastic Difference Equations
ASJC Scopus subject areas
- Business and International Management
- Strategy and Management