Name
Abstract | ||
|---|---|---|
We study the dynamics of public opinion in a model where agents change their opinions as a result of random binary encounters if the opinion difference is below their individual thresholds that evolve over time. We ground these thresholds in a simple individual cost-benefit analysis with linear benefits of diversity and quadratic communication costs. We clarify and deepen the results of earlier continuous-opinion dynamics models (Deffuant et al., Adv Complex Systems 2000, 3, 87–98; Weisbuch et al., Complexity 2002, 7, 55–63) and establish several new results regarding the patterns of opinions in the asymptotic state and the cluster formation time. © 2009 Wiley Periodicals, Inc. Complexity, 2009 |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1002/cplx.v15:2 | Complexity |
Keywords | Field | DocType |
public opinion,complex system,cost benefit analysis | Complex system,Quadratic equation,Public opinion,Opinion dynamics,Management science,Mathematics,Binary number | Journal |
Volume | Issue | ISSN |
15 | 2 | 1076-2787 |
Citations | PageRank | References |
2 | 0.42 | 2 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gani Aldashev | 1 | 2 | 0.42 |
| T Carletti | 2 | 37 | 14.43 |