-
Je něco špatně v tomto záznamu ?
A deterministic approach for rapid identification of the critical links in networks
R. Vodák, M. Bíl, T. Svoboda, Z. Křivánková, J. Kubeček, T. Rebok, P. Hliněný,
Jazyk angličtina Země Spojené státy americké
Typ dokumentu časopisecké články, práce podpořená grantem
NLK
Directory of Open Access Journals
od 2006
Free Medical Journals
od 2006
Public Library of Science (PLoS)
od 2006
PubMed Central
od 2006
Europe PubMed Central
od 2006
ProQuest Central
od 2006-12-01
Open Access Digital Library
od 2006-01-01
Open Access Digital Library
od 2006-10-01
Open Access Digital Library
od 2006-01-01
Medline Complete (EBSCOhost)
od 2008-01-01
Nursing & Allied Health Database (ProQuest)
od 2006-12-01
Health & Medicine (ProQuest)
od 2006-12-01
Public Health Database (ProQuest)
od 2006-12-01
ROAD: Directory of Open Access Scholarly Resources
od 2006
- MeSH
- algoritmy * MeSH
- čas MeSH
- doprava * MeSH
- lidé MeSH
- sběr dat MeSH
- software MeSH
- záznamy jako téma MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Geografické názvy
- Česká republika MeSH
We introduce a rapid deterministic algorithm for identification of the most critical links which are capable of causing network disruptions. The algorithm is based on searching for the shortest cycles in the network and provides a significant time improvement compared with a common brute-force algorithm which scans the entire network. We used a simple measure, based on standard deviation, as a vulnerability measure. It takes into account the importance of nodes in particular network components. We demonstrate this approach on a real network with 734 nodes and 990 links. We found the worst scenarios for the cases with and without people living in the nodes. The evaluation of all network breakups can provide transportation planners and administrators with plenty of data for further statistical analyses. The presented approach provides an alternative approach to the recent research assessing the impacts of simultaneous interruptions of multiple links.
CDV Transport Research Centre Brno Czech Republic
CDV Transport Research Centre Brno Czech Republic CESNET Prague Czech Republic
CERIT SC Institute of Computer Science Masaryk University Brno Czech Republic
Faculty of Informatics Masaryk University Brno Czech Republic
Citace poskytuje Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc20006141
- 003
- CZ-PrNML
- 005
- 20200518132349.0
- 007
- ta
- 008
- 200511s2019 xxu f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1371/journal.pone.0219658 $2 doi
- 035 __
- $a (PubMed)31314814
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a xxu
- 100 1_
- $a Vodák, Rostislav $u CDV-Transport Research Centre, Brno, Czech Republic. Faculty of Science, Palacký University, Olomouc, Czech Republic.
- 245 12
- $a A deterministic approach for rapid identification of the critical links in networks / $c R. Vodák, M. Bíl, T. Svoboda, Z. Křivánková, J. Kubeček, T. Rebok, P. Hliněný,
- 520 9_
- $a We introduce a rapid deterministic algorithm for identification of the most critical links which are capable of causing network disruptions. The algorithm is based on searching for the shortest cycles in the network and provides a significant time improvement compared with a common brute-force algorithm which scans the entire network. We used a simple measure, based on standard deviation, as a vulnerability measure. It takes into account the importance of nodes in particular network components. We demonstrate this approach on a real network with 734 nodes and 990 links. We found the worst scenarios for the cases with and without people living in the nodes. The evaluation of all network breakups can provide transportation planners and administrators with plenty of data for further statistical analyses. The presented approach provides an alternative approach to the recent research assessing the impacts of simultaneous interruptions of multiple links.
- 650 12
- $a algoritmy $7 D000465
- 650 _2
- $a sběr dat $7 D003625
- 650 _2
- $a lidé $7 D006801
- 650 _2
- $a záznamy jako téma $7 D011996
- 650 _2
- $a software $7 D012984
- 650 _2
- $a čas $7 D013995
- 650 12
- $a doprava $7 D014186
- 651 _2
- $a Česká republika $7 D018153
- 655 _2
- $a časopisecké články $7 D016428
- 655 _2
- $a práce podpořená grantem $7 D013485
- 700 1_
- $a Bíl, Michal $u CDV-Transport Research Centre, Brno, Czech Republic.
- 700 1_
- $a Svoboda, Tomáš $u CDV-Transport Research Centre, Brno, Czech Republic. CESNET, Prague, Czech Republic.
- 700 1_
- $a Křivánková, Zuzana $u CDV-Transport Research Centre, Brno, Czech Republic.
- 700 1_
- $a Kubeček, Jan $u CDV-Transport Research Centre, Brno, Czech Republic.
- 700 1_
- $a Rebok, Tomáš $u CERIT-SC, Institute of Computer Science, Masaryk University, Brno, Czech Republic.
- 700 1_
- $a Hliněný, Petr $u Faculty of Informatics, Masaryk University, Brno, Czech Republic.
- 773 0_
- $w MED00180950 $t PloS one $x 1932-6203 $g Roč. 14, č. 7 (2019), s. e0219658
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/31314814 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y a $z 0
- 990 __
- $a 20200511 $b ABA008
- 991 __
- $a 20200518132349 $b ABA008
- 999 __
- $a ok $b bmc $g 1524999 $s 1096197
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2019 $b 14 $c 7 $d e0219658 $e 20190717 $i 1932-6203 $m PLoS One $n PLoS One $x MED00180950
- LZP __
- $a Pubmed-20200511