Name
Abstract | ||
|---|---|---|
We study a simple model of a population of agents whose interac- tion network co-evolves with knowledge diusion and accumulation. Dif- fusion takes place along the current network and, reciprocally, network formation depends on the knowledge prole. Diusion makes neighboring agents tend to display similar knowledge levels. On the other hand, sim- ilarity in knowledge favors network formation. The cumulative nonlinear eects induced by this interplay produce sharp transitions, equilibrium co-existence, and hysteresis, which sheds some light on why multiplicity of outcomes and segmentation in performance may persist resiliently over time in knowledge-based processes. JEL Classic ation nos.: D83, D85, O33 |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/s00182-006-0025-6 | Int. J. Game Theory |
Keywords | Field | DocType |
network formation,hysteresis,network formation · diffusion · transition · hysteresis · growth · social norms,diusion,social norms.,transition,growth,social norms,social norm,knowledge base,diffusion,interaction network,cumulant | Network formation,Population,Mathematical economics,Nonlinear system,Segmentation,Norm (social),Interaction network,Mathematics | Journal |
Volume | Issue | ISSN |
34 | 3 | 1432-1270 |
Citations | PageRank | References |
4 | 0.45 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| George Ehrhardt | 1 | 4 | 0.45 |
| Matteo Marsili | 2 | 149 | 17.65 |
| Fernando Vega-Redondo | 3 | 128 | 24.01 |