Literature DB >> 18518644

Transient dynamics increasing network vulnerability to cascading failures.

Ingve Simonsen1, Lubos Buzna, Karsten Peters, Stefan Bornholdt, Dirk Helbing.   

Abstract

We study cascading failures in networks using a dynamical flow model based on simple conservation and distribution laws. It is found that considering the flow dynamics may imply reduced network robustness compared to previous static overload failure models. This is due to the transient oscillations or overshooting in the loads, when the flow dynamics adjusts to the new (remaining) network structure. The robustness of networks showing cascading failures is generally given by a complex interplay between the network topology and flow dynamics.

Year:  2008        PMID: 18518644     DOI: 10.1103/PhysRevLett.100.218701

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  24 in total

1.  Network synchronization landscape reveals compensatory structures, quantization, and the positive effect of negative interactions.

Authors:  Takashi Nishikawa; Adilson E Motter
Journal:  Proc Natl Acad Sci U S A       Date:  2010-05-20       Impact factor: 11.205

2.  Globally networked risks and how to respond.

Authors:  Dirk Helbing
Journal:  Nature       Date:  2013-05-02       Impact factor: 49.962

3.  Robust component: a robustness measure that incorporates access to critical facilities under disruptions.

Authors:  Shangjia Dong; Haizhong Wang; Ali Mostafavi; Jianxi Gao
Journal:  J R Soc Interface       Date:  2019-08-07       Impact factor: 4.118

4.  SYNCHRONIZATION OF HETEROGENEOUS OSCILLATORS UNDER NETWORK MODIFICATIONS: PERTURBATION AND OPTIMIZATION OF THE SYNCHRONY ALIGNMENT FUNCTION.

Authors:  Dane Taylor; Per Sebastian Skardal; Jie Sun
Journal:  SIAM J Appl Math       Date:  2016-10-06       Impact factor: 2.080

5.  Universal behavior of cascading failures in interdependent networks.

Authors:  Dongli Duan; Changchun Lv; Shubin Si; Zhen Wang; Daqing Li; Jianxi Gao; Shlomo Havlin; H Eugene Stanley; Stefano Boccaletti
Journal:  Proc Natl Acad Sci U S A       Date:  2019-10-17       Impact factor: 11.205

6.  Collective frequency variation in network synchronization and reverse PageRank.

Authors:  Per Sebastian Skardal; Dane Taylor; Jie Sun; Alex Arenas
Journal:  Phys Rev E       Date:  2016-04-25       Impact factor: 2.529

7.  Ability paradox of cascading model based on betweenness.

Authors:  Jianwei Wang; Bo Xu; Yuedan Wu
Journal:  Sci Rep       Date:  2015-09-10       Impact factor: 4.379

8.  Cascading failures in spatially-embedded random networks.

Authors:  Andrea Asztalos; Sameet Sreenivasan; Boleslaw K Szymanski; Gyorgy Korniss
Journal:  PLoS One       Date:  2014-01-06       Impact factor: 3.240

9.  Spatial correlation analysis of cascading failures: congestions and blackouts.

Authors:  Li Daqing; Jiang Yinan; Kang Rui; Shlomo Havlin
Journal:  Sci Rep       Date:  2014-06-20       Impact factor: 4.379

10.  Performance and reliability analysis of water distribution systems under cascading failures and the identification of crucial pipes.

Authors:  Qing Shuang; Mingyuan Zhang; Yongbo Yuan
Journal:  PLoS One       Date:  2014-02-13       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.