Shape and efficiency in spatial distribution networks

We study spatial networks that are designed to distribute or collect a commodity, such as gas pipelines or train tracks. We focus on the cost of a network, as represented by the total length of all its edges, and its efficiency in terms of the directness of routes from point to point. Using data for several real-world examples, we find that distribution networks appear remarkably close to optimal where both these properties are concerned. We propose two models of network growth that offer explanations of how this situation might arise.

[1]  Albert-László Barabási,et al.  Statistical mechanics of complex networks , 2001, ArXiv.

[2]  L. Sander,et al.  Diffusion-limited aggregation, a kinetic critical phenomenon , 1981 .

[3]  C D Murray,et al.  The Physiological Principle of Minimum Work: I. The Vascular System and the Cost of Blood Volume. , 1926, Proceedings of the National Academy of Sciences of the United States of America.

[4]  Michael T. Gastner,et al.  The spatial structure of networks , 2006 .

[5]  Rajendra Kulkarni,et al.  Spatial Small Worlds: New Geographic Patterns for an Information Economy , 2003 .

[6]  T. McMahon,et al.  Tree structures: deducing the principle of mechanical design. , 1976, Journal of theoretical biology.

[7]  Hawoong Jeong,et al.  Modeling the Internet's large-scale topology , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[8]  L. Pietronero,et al.  Fractal Dimension of Dielectric Breakdown , 1984 .

[9]  Christos H. Papadimitriou,et al.  Heuristically Optimized Trade-Offs: A New Paradigm for Power Laws in the Internet , 2002, ICALP.

[10]  R. Guimerà,et al.  The worldwide air transportation network: Anomalous centrality, community structure, and cities' global roles , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[11]  William R. Black Transportation: A Geographical Analysis , 2003 .

[12]  G. Bard Ermentrout,et al.  Models for branching networks in two dimensions , 1989 .

[13]  M. Batty,et al.  Urban Growth and Form: Scaling, Fractal Geometry, and Diffusion-Limited Aggregation , 1989 .

[14]  Marcus Kaiser,et al.  Spatial growth of real-world networks. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[15]  F Nekka,et al.  A model of growing vascular structures. , 1996, Bulletin of mathematical biology.

[16]  P. Stevens Patterns in Nature , 1974 .

[17]  R. Horton EROSIONAL DEVELOPMENT OF STREAMS AND THEIR DRAINAGE BASINS; HYDROPHYSICAL APPROACH TO QUANTITATIVE MORPHOLOGY , 1945 .

[18]  M Zamir,et al.  Optimality principles in arterial branching. , 1976, Journal of theoretical biology.

[19]  M. Eden A Two-dimensional Growth Process , 1961 .

[20]  N Mathias,et al.  Small worlds: how and why. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[21]  L. B. Leopold,et al.  Trees and streams: the efficiency of branching patterns. , 1971, Journal of theoretical biology.

[22]  Ronald L. Rivest,et al.  Introduction to Algorithms , 1990 .

[23]  S. N. Dorogovtsev,et al.  Evolution of networks , 2001, cond-mat/0106144.

[24]  Gábor Csányi,et al.  Fractal-small-world dichotomy in real-world networks. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[25]  Mark E. J. Newman,et al.  The Structure and Function of Complex Networks , 2003, SIAM Rev..

[26]  Roger Guimerà,et al.  Structure and Efficiency of the World-Wide Airport Network , 2003 .