Name
Abstract | ||
|---|---|---|
Social psychological research shows that although the opinions of most agents (followers) tend to prevail, sometimes a firm and influential agent (leader) can influence or even overturn the followers' preferences. Inspired by this fact, this paper designs a Degreet-model-based opinion evolution rule in cooperation-competition social networks, and uses the relevant properties of the super-stochastic matrix to conduct theoretical analysis on how the leader influence the formation of followers' opinions. Finally, algebraic conditions for achieving leader-driven opinion consensus and opinion polarization are established, respectively. Moreover, the correctness of the theoretical results is verified by numerical simulations. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/ICCA51439.2020.9264461 | 2020 IEEE 16th International Conference on Control & Automation (ICCA) |
Keywords | DocType | ISSN |
opinion dynamics,cooperation-competition social networks,social psychological research,influential agent,follower preferences,Degreet-model-based opinion evolution rule,leader-driven opinion consensus,opinion polarization,super-stochastic matrix,follower opinions,algebraic conditions | Conference | 1948-3449 |
ISBN | Citations | PageRank |
978-1-7281-9094-5 | 0 | 0.34 |
References | Authors | |
13 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Libing Bai | 1 | 35 | 7.09 |
| Lei Shi | 2 | 306 | 55.98 |
| Hongjian Chen | 3 | 0 | 0.34 |
| Jin-Liang Shao | 4 | 96 | 10.49 |
| Yuhua Cheng | 5 | 0 | 0.34 |