%0 Journal Article %1 WOS:000286629000030 %A Herrmann, Hans J %A Schneider, Christian M %A Moreira, Andre A %A Jr., Jose S Andrade %A Havlin, Shlomo %C TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND %D 2011 %I IOP PUBLISHING LTD %J JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT %K and communication; dynamics; information network networks; optimization; reconstruction} robust stochastic supply {network %R 10.1088/1742-5468/2011/01/P01027 %T Onion-like network topology enhances robustness against malicious attacks %X We develop a method to generate robust networks against malicious attacks, as well as to substantially improve the robustness of a given network by swapping edges and keeping the degree distribution fixed. The method, based on persistence of the size of the largest cluster during attacks, was applied to several types of networks with broad degree distributions, including a real network-the Internet. We find that our method can improve the robustness significantly. Our results show that robust networks have a novel `onion-like' topology consisting of a core of highly connected nodes hierarchically surrounded by rings of nodes with decreasing degree.

@article{WOS:000286629000030, abstract = {We develop a method to generate robust networks against malicious attacks, as well as to substantially improve the robustness of a given network by swapping edges and keeping the degree distribution fixed. The method, based on persistence of the size of the largest cluster during attacks, was applied to several types of networks with broad degree distributions, including a real network-the Internet. We find that our method can improve the robustness significantly. Our results show that robust networks have a novel `onion-like' topology consisting of a core of highly connected nodes hierarchically surrounded by rings of nodes with decreasing degree.}, added-at = {2022-05-23T20:00:14.000+0200}, address = {TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND}, author = {Herrmann, Hans J and Schneider, Christian M and Moreira, Andre A and Jr., Jose S Andrade and Havlin, Shlomo}, biburl = {https://www.bibsonomy.org/bibtex/26e5be9c8e653a0a6ed612b5518a9b357/ppgfis_ufc_br}, doi = {10.1088/1742-5468/2011/01/P01027}, interhash = {54dc9fb764b3eb869e769fe12269eb8b}, intrahash = {6e5be9c8e653a0a6ed612b5518a9b357}, issn = {1742-5468}, journal = {JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT}, keywords = {and communication; dynamics; information network networks; optimization; reconstruction} robust stochastic supply {network}, publisher = {IOP PUBLISHING LTD}, pubstate = {published}, timestamp = {2022-05-23T20:00:14.000+0200}, title = {Onion-like network topology enhances robustness against malicious attacks}, tppubtype = {article}, year = 2011 }