气候变化领域集成服务门户(CCPortal): Optimal resilience of modular interacting networks

CCPortal

DOI	10.1073/pnas.1922831118
	Optimal resilience of modular interacting networks
	Dong G.; Wang F.; Shekhtman L.M.; Danziger M.M.; Fan J.; Du R.; Liu J.; Tian L.; Stanley H.E.; Havlin S.
发表日期	2021
ISSN	0027-8424
卷号	118 期号:22
英文摘要	Coupling between networks is widely prevalent in real systems and has dramatic effects on their resilience and functional properties. However, current theoretical models tend to assume homogeneous coupling where all the various subcomponents interact with one another, whereas real-world systems tend to have various different coupling patterns. We develop two frameworks to explore the resilience of such modular networks, including specific deterministic coupling patterns and coupling patterns where specific subnetworks are connected randomly. We find both analytically and numerically that the location of the percolation phase transition varies nonmonotonically with the fraction of interconnected nodes when the total number of interconnecting links remains fixed. Furthermore, there exists an optimal fraction r∗of interconnected nodes where the system becomes optimally resilient and is able to withstand more damage. Our results suggest that, although the exact location of the optimal r∗varies based on the coupling patterns, for all coupling patterns, there exists such an optimal point. Our findings provide a deeper understanding of network resilience and show how networks can be optimized based on their specific coupling patterns. © 2021 National Academy of Sciences. All rights reserved.
英文关键词	Interacting network; Optimal phenomenon; Percolation; Resilience
语种	英语
scopus关键词	article; phase transition
来源期刊	Proceedings of the National Academy of Sciences of the United States of America
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/238728
作者单位	School of Mathematical Sciences, Jiangsu University, Zhenjiang, Jiangsu, 212013, China; Center for Polymer Studies, Boston University, Boston, MA 02215, United States; Department of Physics, Boston University, Boston, MA 02215, United States; Department of Physics, Bar-Ilan University, Ramat-Gan, 52900, Israel; Network Science Institute, Center for Complex Network Research, Northeastern University, Boston, MA 02115, United States; School of Systems Science, Beijing Normal University, Beijing, 100875, China; Earth System Analysis, Potsdam Institute for Climate Impact Research, Potsdam, 14412, Germany; Energy Development and Environmental Protection Strategy Research Center, School of Mathematical Sciences, Jiangsu University, Zhenjiang, Jiangsu, 212013, China; Institute of Accounting and Finance, Shanghai University of Finance and Economics, Shanghai, 200443, China; School of Public Management, Xinjiang University of Finance and Economics, Urumqi, 830012, China; School of Mathematical Sciences, Jiangsu ...
推荐引用方式 GB/T 7714	Dong G.,Wang F.,Shekhtman L.M.,et al. Optimal resilience of modular interacting networks[J],2021,118(22).
APA	Dong G..,Wang F..,Shekhtman L.M..,Danziger M.M..,Fan J..,...&Havlin S..(2021).Optimal resilience of modular interacting networks.Proceedings of the National Academy of Sciences of the United States of America,118(22).
MLA	Dong G.,et al."Optimal resilience of modular interacting networks".Proceedings of the National Academy of Sciences of the United States of America 118.22(2021).