Literature DB >> 21230539

Resilience and rewiring of the passenger airline networks in the United States.

Daniel R Wuellner1, Soumen Roy, Raissa M D'Souza.   

Abstract

The air transportation network, a fundamental component of critical infrastructure, is formed from a collection of individual air carriers, each one with a methodically designed and engineered network structure. We analyze the individual structures of the seven largest passenger carriers in the USA and find that networks with dense interconnectivity, as quantified by large k cores for high values of k, are extremely resilient to both targeted removal of airports (nodes) and random removal of flight paths (edges). Such networks stay connected and incur minimal increase in an heuristic travel time despite removal of a majority of nodes or edges. Similar results are obtained for targeted removal based on either node degree or centrality. We introduce network rewiring schemes that boost resilience to different levels of perturbation while preserving total number of flight and gate requirements. Recent studies have focused on the asymptotic optimality of hub-and-spoke spatial networks under normal operating conditions, yet our results indicate that point-to-point architectures can be much more resilient to perturbations.

Entities:  

Mesh:

Year:  2010        PMID: 21230539     DOI: 10.1103/PhysRevE.82.056101

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


  10 in total

1.  Systems biology beyond degree, hubs and scale-free networks: the case for multiple metrics in complex networks.

Authors:  Soumen Roy
Journal:  Syst Synth Biol       Date:  2012-05-29

2.  Structural and spectral properties of generative models for synthetic multilayer air transportation networks.

Authors:  Marzena Fügenschuh; Ralucca Gera; José Antonio Méndez-Bermúdez; Andrea Tagarelli
Journal:  PLoS One       Date:  2021-10-21       Impact factor: 3.240

3.  Improving the accuracy of the k-shell method by removing redundant links: From a perspective of spreading dynamics.

Authors:  Ying Liu; Ming Tang; Tao Zhou; Younghae Do
Journal:  Sci Rep       Date:  2015-08-17       Impact factor: 4.379

4.  Using complex networks towards information retrieval and diagnostics in multidimensional imaging.

Authors:  Soumya Jyoti Banerjee; Mohammad Azharuddin; Debanjan Sen; Smruti Savale; Himadri Datta; Anjan Kr Dasgupta; Soumen Roy
Journal:  Sci Rep       Date:  2015-12-02       Impact factor: 4.379

5.  A random interacting network model for complex networks.

Authors:  Bedartha Goswami; Snehal M Shekatkar; Aljoscha Rheinwalt; G Ambika; Jürgen Kurths
Journal:  Sci Rep       Date:  2015-12-11       Impact factor: 4.379

6.  Temporal Characteristics of the Chinese Aviation Network and their Effects on the Spread of Infectious Diseases.

Authors:  Jianhong Mou; Chuchu Liu; Saran Chen; Ge Huang; Xin Lu
Journal:  Sci Rep       Date:  2017-04-28       Impact factor: 4.379

7.  Analysis of the Structure and Dynamics of European Flight Networks.

Authors:  Matteo Milazzo; Federico Musciotto; Salvatore Miccichè; Rosario N Mantegna
Journal:  Entropy (Basel)       Date:  2022-02-08       Impact factor: 2.524

8.  Recovery of Chinese low-cost carriers after the outbreak of COVID-19 pandemic.

Authors:  Maozhu Liao; Chuntao Wu; Hongmeng Yan
Journal:  J Air Transp Manag       Date:  2022-08-12

9.  Systemic delay propagation in the US airport network.

Authors:  Pablo Fleurquin; José J Ramasco; Victor M Eguiluz
Journal:  Sci Rep       Date:  2013-01-29       Impact factor: 4.379

10.  Emergence of network features from multiplexity.

Authors:  Alessio Cardillo; Jesús Gómez-Gardeñes; Massimiliano Zanin; Miguel Romance; David Papo; Francisco del Pozo; Stefano Boccaletti
Journal:  Sci Rep       Date:  2013       Impact factor: 4.379

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.