Literature DB >> 19658773

Robustness of trans-European gas networks.

Rui Carvalho1, Lubos Buzna, Flavio Bono, Eugenio Gutiérrez, Wolfram Just, David Arrowsmith.   

Abstract

Here, we uncover the load and fault-tolerant backbones of the trans-European gas pipeline network. Combining topological data with information on intercountry flows, we estimate the global load of the network and its tolerance to failures. To do this, we apply two complementary methods generalized from the betweenness centrality and the maximum flow. We find that the gas pipeline network has grown to satisfy a dual purpose. On one hand, the major pipelines are crossed by a large number of shortest paths thereby increasing the efficiency of the network; on the other hand, a nonoperational pipeline causes only a minimal impact on network capacity, implying that the network is error tolerant. These findings suggest that the trans-European gas pipeline network is robust, i.e., error tolerant to failures of high load links.

Entities:  

Year:  2009        PMID: 19658773     DOI: 10.1103/PhysRevE.80.016106

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  5 in total

1.  Universal fractal scaling of self-organized networks.

Authors:  Paul J Laurienti; Karen E Joyce; Qawi K Telesford; Jonathan H Burdette; Satoru Hayasaka
Journal:  Physica A       Date:  2011-10-01       Impact factor: 3.263

2.  Limits and trade-offs of topological network robustness.

Authors:  Christopher Priester; Sebastian Schmitt; Tiago P Peixoto
Journal:  PLoS One       Date:  2014-09-24       Impact factor: 3.240

3.  Controlling congestion on complex networks: fairness, efficiency and network structure.

Authors:  Ľuboš Buzna; Rui Carvalho
Journal:  Sci Rep       Date:  2017-08-22       Impact factor: 4.379

4.  Physiology and methane productivity of Methanobacterium thermaggregans.

Authors:  Lisa-Maria Mauerhofer; Barbara Reischl; Tilman Schmider; Benjamin Schupp; Kinga Nagy; Patricia Pappenreiter; Sara Zwirtmayr; Bernhard Schuster; Sébastien Bernacchi; Arne H Seifert; Christian Paulik; Simon K-M R Rittmann
Journal:  Appl Microbiol Biotechnol       Date:  2018-06-29       Impact factor: 4.813

5.  Weighted spectral clustering for water distribution network partitioning.

Authors:  Armando Di Nardo; Michele Di Natale; Carlo Giudicianni; Roberto Greco; Giovanni Francesco Santonastaso
Journal:  Appl Netw Sci       Date:  2017-06-30
  5 in total

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