Name
Abstract | ||
|---|---|---|
In this work we are interested in the modelling and control of opinion dynamics spreading on a time evolving network with scale-free asymptotic degree distribution. The mathematical model is formulated as a coupling of an opinion alignment system with a probabilistic description of the network. The optimal control problem aims at forcing consensus over the network, to this goal a control strategy based on the degree of connection of each agent has been designed. A numerical method based on a model predictive strategy is then developed and different numerical tests are reported. The results show that in this way it is possible to drive the overall opinion toward a desired state even if we control only a suitable fraction of the nodes. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-55795-3_4 | System Modelling and Optimization |
Field | DocType | Volume |
Numerical tests,Mathematical optimization,Coupling,Optimal control,Control theory,Evolving networks,Degree distribution,Probabilistic logic,Numerical analysis,Opinion dynamics,Mathematics | Conference | 494 |
Citations | PageRank | References |
3 | 0.44 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Giacomo Albi | 1 | 22 | 3.46 |
| Lorenzo Pareschi | 2 | 421 | 64.78 |
| mattia zanella | 3 | 23 | 4.49 |