Physics – Condensed Matter
Scientific paper
2000-09-08
Physics
Condensed Matter
Scientific paper
We characterize the distributions of short cycles in a large metabolic network previously shown to have small world characteristics and a power law degree distribution. Compared with three classes of random networks, including Erdoes-Renyi random graphs and synthetic small world networks of the same connectivity, the metabolic network has a particularly large number of triangles and a deficit in large cycles. Short cycles reduce the length of detours when a connection is clipped, so we propose that long cycles in metabolism may have been selected against in order to shorten transition times and reduce the likelihood of oscillations in response to external perturbations.
Fell David A.
Gleiss Petra M.
Stadler Peter F.
Wagner Andreas
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