English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse
  1. View item / 
  2. Item Summary

Item

ITEM ACTIONSEXPORT
Add to Basket
  Local TagsRelease HistoryDetailsSummary

Released
Journal Article

Mutual synchronization and clustering in randomly coupled chaotic dynamical networks

MPS-Authors
/persons/resource/persons121621

Manrubia,  Susanna C.
Physical Chemistry, Fritz Haber Institute, Max Planck Society;

/persons/resource/persons21881

Mikhailov,  Alexander S.
Physical Chemistry, Fritz Haber Institute, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

PhysRevE.60.1579.pdf
(Publisher version), 168KB

Supplementary Material (public)
There is no public supplementary material available
Citation

Manrubia, S. C., & Mikhailov, A. S. (1999). Mutual synchronization and clustering in randomly coupled chaotic dynamical networks. Physical Review E, 60(2), 1579-1589. doi:10.1103/PhysRevE.60.1579.


Cite as: https://hdl.handle.net/21.11116/0000-0008-E58A-A
Abstract
We introduce and study systems of randomly coupled maps where the relevant parameter is the degree of connectivity in the system. Global (almost-) synchronized states are found (equivalent to the synchronization observed in globally coupled maps) until a certain critical threshold for the connectivity is reached. We further show that not only the average connectivity, but also the architecture of the couplings is responsible for the cluster structure observed. We analyze the different phases of the system and use various correlation measures in order to detect ordered nonsynchronized states. Finally, it is shown that the system displays a dynamical hierarchical clustering which allows the definition of emerging graphs.