Literature DB >> 15903820

Optimization of network robustness to waves of targeted and random attacks.

T Tanizawa1, G Paul, R Cohen, S Havlin, H E Stanley.   

Abstract

We study the robustness of complex networks to multiple waves of simultaneous (i) targeted attacks in which the highest degree nodes are removed and (ii) random attacks (or failures) in which fractions p(t) and p(r) , respectively, of the nodes are removed until the network collapses. We find that the network design which optimizes network robustness has a bimodal degree distribution, with a fraction r of the nodes having degree k2 = ((k)-1+r)/r and the remainder of the nodes having degree k1=1, where k is the average degree of all the nodes. We find that the optimal value of r is of the order of p(t)/p(r) for p(t)/p(r) << 1.

Year:  2005        PMID: 15903820     DOI: 10.1103/PhysRevE.71.047101

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


  11 in total

1.  Optimal control of aging in complex networks.

Authors:  Eric D Sun; Thomas C T Michaels; L Mahadevan
Journal:  Proc Natl Acad Sci U S A       Date:  2020-08-12       Impact factor: 11.205

2.  Robustness of oscillatory behavior in correlated networks.

Authors:  Takeyuki Sasai; Kai Morino; Gouhei Tanaka; Juan A Almendral; Kazuyuki Aihara
Journal:  PLoS One       Date:  2015-04-20       Impact factor: 3.240

3.  Building damage-resilient dominating sets in complex networks against random and targeted attacks.

Authors:  F Molnár; N Derzsy; B K Szymanski; G Korniss
Journal:  Sci Rep       Date:  2015-02-09       Impact factor: 4.379

4.  Efficient network disintegration under incomplete information: the comic effect of link prediction.

Authors:  Suo-Yi Tan; Jun Wu; Linyuan Lü; Meng-Jun Li; Xin Lu
Journal:  Sci Rep       Date:  2016-03-10       Impact factor: 4.379

5.  Trade-offs between robustness and small-world effect in complex networks.

Authors:  Guan-Sheng Peng; Suo-Yi Tan; Jun Wu; Petter Holme
Journal:  Sci Rep       Date:  2016-11-17       Impact factor: 4.379

6.  Network Anatomy Controlling Abrupt-like Percolation Transition.

Authors:  Hirokazu Kawamoto; Hideki Takayasu; Misako Takayasu
Journal:  Sci Rep       Date:  2017-03-13       Impact factor: 4.379

7.  Mandala networks: ultra-small-world and highly sparse graphs.

Authors:  Cesar I N Sampaio Filho; André A Moreira; Roberto F S Andrade; Hans J Herrmann; José S Andrade
Journal:  Sci Rep       Date:  2015-03-13       Impact factor: 4.379

8.  Resistance and Security Index of Networks: Structural Information Perspective of Network Security.

Authors:  Angsheng Li; Qifu Hu; Jun Liu; Yicheng Pan
Journal:  Sci Rep       Date:  2016-06-03       Impact factor: 4.379

9.  Centralized Networks to Generate Human Body Motions.

Authors:  Sergei Vakulenko; Ovidiu Radulescu; Ivan Morozov; Andres Weber
Journal:  Sensors (Basel)       Date:  2017-12-14       Impact factor: 3.576

10.  Accounting for the complex hierarchical topology of EEG phase-based functional connectivity in network binarisation.

Authors:  Keith Smith; Daniel Abásolo; Javier Escudero
Journal:  PLoS One       Date:  2017-10-20       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.