001     888183
005     20220930130258.0
024 7 _ |a 10.1038/s41467-020-19567-2
|2 doi
024 7 _ |a 2128/26270
|2 Handle
024 7 _ |a altmetric:94381460
|2 altmetric
024 7 _ |a pmid:33199688
|2 pmid
024 7 _ |a WOS:000594725700002
|2 WOS
037 _ _ |a FZJ-2020-04745
082 _ _ |a 500
100 1 _ |a Kaiser, Franz
|0 P:(DE-Juel1)176610
|b 0
245 _ _ |a Discontinuous transition to loop formation in optimal supply networks
260 _ _ |a [London]
|c 2020
|b Nature Publishing Group UK
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1614333696_24429
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a The structure and design of optimal supply networks is an important topic in complex networks research. A fundamental trait of natural and man-made networks is the emergence of loops and the trade-off governing their formation: adding redundant edges to supply networks is costly, yet beneficial for resilience. Loops typically form when costs for new edges are small or inputs uncertain. Here, we shed further light on the transition to loop formation. We demonstrate that loops emerge discontinuously when decreasing the costs for new edges for both an edge-damage model and a fluctuating sink model. Mathematically, new loops are shown to form through a saddle-node bifurcation. Our analysis allows to heuristically predict the location and cost where the first loop emerges. Finally, we unveil an intimate relationship among betweenness measures and optimal tree networks. Our results can be used to understand the evolution of loop formation in real-world biological networks.
536 _ _ |a 153 - Assessment of Energy Systems – Addressing Issues of Energy Efficiency and Energy Security (POF3-153)
|0 G:(DE-HGF)POF3-153
|c POF3-153
|f POF III
|x 0
536 _ _ |a ES2050 - Energie Sytem 2050 (ES2050)
|0 G:(DE-HGF)ES2050
|c ES2050
|x 1
536 _ _ |a VH-NG-1025 - Helmholtz Young Investigators Group "Efficiency, Emergence and Economics of future supply networks" (VH-NG-1025_20112014)
|0 G:(HGF)VH-NG-1025_20112014
|c VH-NG-1025_20112014
|x 2
536 _ _ |a CoNDyNet 2 - Kollektive Nichtlineare Dynamik Komplexer Stromnetze (BMBF-03EK3055B)
|0 G:(DE-JUEL1)BMBF-03EK3055B
|c BMBF-03EK3055B
|x 3
588 _ _ |a Dataset connected to CrossRef
700 1 _ |a Ronellenfitsch, Henrik
|0 0000-0002-7799-3368
|b 1
700 1 _ |a Witthaut, Dirk
|0 P:(DE-Juel1)162277
|b 2
|e Corresponding author
773 _ _ |a 10.1038/s41467-020-19567-2
|g Vol. 11, no. 1, p. 5796
|0 PERI:(DE-600)2553671-0
|n 1
|p 5796
|t Nature Communications
|v 11
|y 2020
|x 2041-1723
856 4 _ |u https://juser.fz-juelich.de/record/888183/files/SN-2020-00398-b.pdf
856 4 _ |u https://juser.fz-juelich.de/record/888183/files/s41467-020-19567-2.pdf
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:888183
|p openaire
|p open_access
|p OpenAPC
|p driver
|p VDB
|p openCost
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)176610
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 2
|6 P:(DE-Juel1)162277
913 1 _ |a DE-HGF
|b Energie
|l Technologie, Innovation und Gesellschaft
|1 G:(DE-HGF)POF3-150
|0 G:(DE-HGF)POF3-153
|3 G:(DE-HGF)POF3
|2 G:(DE-HGF)POF3-100
|4 G:(DE-HGF)POF
|v Assessment of Energy Systems – Addressing Issues of Energy Efficiency and Energy Security
|x 0
913 2 _ |a DE-HGF
|b Programmungebundene Forschung
|l ohne Programm
|1 G:(DE-HGF)POF4-890
|0 G:(DE-HGF)POF4-899
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-800
|4 G:(DE-HGF)POF
|v ohne Topic
|x 0
914 1 _ |y 2020
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2020-08-25
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1040
|2 StatID
|b Zoological Record
|d 2020-08-25
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1060
|2 StatID
|b Current Contents - Agriculture, Biology and Environmental Sciences
|d 2020-08-25
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
|d 2020-08-25
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
|d 2020-08-25
915 _ _ |a Article Processing Charges
|0 StatID:(DE-HGF)0561
|2 StatID
|d 2020-08-25
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2020-08-25
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1150
|2 StatID
|b Current Contents - Physical, Chemical and Earth Sciences
|d 2020-08-25
915 _ _ |a Fees
|0 StatID:(DE-HGF)0700
|2 StatID
|d 2020-08-25
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2020-08-25
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2020-08-25
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b NAT COMMUN : 2018
|d 2020-08-25
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
|d 2020-08-25
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2020-08-25
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2020-08-25
915 _ _ |a Creative Commons Attribution CC BY 4.0
|0 LIC:(DE-HGF)CCBY4
|2 HGFVOC
915 _ _ |a IF >= 10
|0 StatID:(DE-HGF)9910
|2 StatID
|b NAT COMMUN : 2018
|d 2020-08-25
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2020-08-25
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b DOAJ : Peer review
|d 2020-08-25
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2020-08-25
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0320
|2 StatID
|b PubMed Central
|d 2020-08-25
920 _ _ |l no
920 1 _ |0 I:(DE-Juel1)IEK-STE-20101013
|k IEK-STE
|l Systemforschung und Technologische Entwicklung
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)IEK-STE-20101013
980 _ _ |a APC
980 _ _ |a UNRESTRICTED
980 1 _ |a APC
980 1 _ |a FullTexts


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21