Exploring network scaling through variations on optimal channel networks.
Metabolic allometry, a common pattern in nature, is a close to 3/4-power scaling law between metabolic rate and body mass in organisms, across and within species. An analogous relationship between metabolic rate and water volume in river networks has also been observed. Optimal channel networks (OCNs), at local optima, accurately model many scaling properties of river systems, including metabolic allometry. OCNs are embedded in 2D space; this work extends the model to three dimensions. In this paper we compare characteristics of 3D OCNs with 2D OCNs and with organic metabolic networks, studying the scaling behaviors of area, length, volume, and energy. We find that the 3D OCN has predictable characteristics analogous to those of the 2D version, as well as scaling properties similar to metabolic networks in biological organisms.
Department of Computer Science, Rensselaer Polytechnic Institute, Troy, NY 12180.
Lily A
LA
Briggs
Mukkai
M
Krishnamoorthy
D049628:Body Size / Q000502:physiology; D003198:Computer Simulation; D053858:Metabolic Networks and Pathways / Q000502:physiology*; D008962:Models, Theoretical; D045483:Rivers; D014186:Transportation / Q000379:methods*