TY - JOUR
T1 - Overload-based cascades on multiplex networks and effects of inter-similarity
AU - Zhou, Dong
AU - Elmokashfi, Ahmed
N1 - Funding Information:
This work was supported by grant number 240850, DOMINOS (https://www. forskningsradet.no). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. We thank the DOMINOS project (Grant No. 240850) from Norwegian Research Council for financial supports.
Publisher Copyright:
© 2017 Zhou, Elmokashfi. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PY - 2017/12/1
Y1 - 2017/12/1
N2 - Although cascading failures caused by overload on interdependent/interconnected networks have been studied in the recent years, the effect of overlapping links (inter-similarity) on robustness to such cascades in coupled networks is not well understood. This is an important issue since shared links exist in many real-world coupled networks. In this paper, we propose a new model for load-based cascading failures in multiplex networks. We leverage it to compare different network structures, coupling schemes, and overload rules. More importantly, we systematically investigate the impact of inter-similarity on the robustness of the whole system under an initial intentional attack. Surprisingly, we find that inter-similarity can have a negative impact on robustness to overload cascades. To the best of our knowledge, we are the first to report the competition between the positive and the negative impacts of overlapping links on the robustness of coupled networks. These results provide useful suggestions for designing robust coupled traffic systems.
AB - Although cascading failures caused by overload on interdependent/interconnected networks have been studied in the recent years, the effect of overlapping links (inter-similarity) on robustness to such cascades in coupled networks is not well understood. This is an important issue since shared links exist in many real-world coupled networks. In this paper, we propose a new model for load-based cascading failures in multiplex networks. We leverage it to compare different network structures, coupling schemes, and overload rules. More importantly, we systematically investigate the impact of inter-similarity on the robustness of the whole system under an initial intentional attack. Surprisingly, we find that inter-similarity can have a negative impact on robustness to overload cascades. To the best of our knowledge, we are the first to report the competition between the positive and the negative impacts of overlapping links on the robustness of coupled networks. These results provide useful suggestions for designing robust coupled traffic systems.
UR - http://www.scopus.com/inward/record.url?scp=85038898632&partnerID=8YFLogxK
U2 - 10.1371/journal.pone.0189624
DO - 10.1371/journal.pone.0189624
M3 - Article
C2 - 29252988
AN - SCOPUS:85038898632
VL - 12
JO - PLoS ONE
JF - PLoS ONE
SN - 1932-6203
IS - 12
M1 - e0189624
ER -