Interdependence of dynamical signals and topology: Detecting the influential nodes in networks
Abstract
By studying varies dynamical processes, including coupled maps, cellular automata and coupled differential equations, on five different kinds of known networks, we found a positive relation between signal correlation and node's degree. Thus a method of identifying influential nodes in dynamical systems is proposed, its validity is studied, and potential applications on real systems are discussed.
- Publication:
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arXiv e-prints
- Pub Date:
- May 2005
- DOI:
- 10.48550/arXiv.cond-mat/0505236
- arXiv:
- arXiv:cond-mat/0505236
- Bibcode:
- 2005cond.mat..5236Y
- Keywords:
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- Condensed Matter - Statistical Mechanics;
- Condensed Matter - Disordered Systems and Neural Networks
- E-Print:
- 4 pages, 7 figures