Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2004-04-09
Physical Review E 70, 056118 (2004)
Physics
Condensed Matter
Disordered Systems and Neural Networks
For related work see http://www.helbing.org
Scientific paper
10.1103/PhysRevE.70.056118
Network theory is rapidly changing our understanding of complex systems, but the relevance of topological features for the dynamic behavior of metabolic networks, food webs, production systems, information networks, or cascade failures of power grids remains to be explored. Based on a simple model of supply networks, we offer an interpretation of instabilities and oscillations observed in biological, ecological, economic, and engineering systems. We find that most supply networks display damped oscillations, even when their units - and linear chains of these units - behave in a non-oscillatory way. Moreover, networks of damped oscillators tend to produce growing oscillations. This surprising behavior offers, for example, a new interpretation of business cycles and of oscillating or pulsating processes. The network structure of material flows itself turns out to be a source of instability, and cyclical variations are an inherent feature of decentralized adjustments.
Brenner Thomas
Helbing Dirk
Laemmer Stefan
Witt Ulrich
No associations
LandOfFree
Network-Induced Oscillatory Behavior in Material Flow Networks does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Network-Induced Oscillatory Behavior in Material Flow Networks, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Network-Induced Oscillatory Behavior in Material Flow Networks will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-548653