Please use this identifier to cite or link to this item: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/6580
Full metadata record
DC FieldValueLanguage
dc.contributor.authorGANDHI, GOVINDen_US
dc.contributor.authorSANTHANAM, M. S.en_US
dc.date.accessioned2022-02-18T05:26:14Z
dc.date.available2022-02-18T05:26:14Z
dc.date.issued2022-01en_US
dc.identifier.citationPhysical Review E, 105(1).en_US
dc.identifier.issn2470-0045en_US
dc.identifier.issn2470-0053en_US
dc.identifier.urihttps://doi.org/10.1103/PhysRevE.105.014315en_US
dc.identifier.urihttp://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/6580
dc.description.abstractExtreme events have low occurrence probabilities and display pronounced deviation from their average behavior, such as earthquakes or power blackouts. Such extreme events occurring on the nodes of a complex network have been extensively studied earlier through the modeling framework of unbiased random walks. They reveal that the occurrence probability for extreme events on nodes of a network has a strong dependence on the nodal properties. Apart from these, a recent work has shown the independence of extreme events on edges from those occurring on nodes. Hence, in this work, we propose a more general formalism to study the properties of extreme events arising from biased random walkers on the edges of a network. This formalism is applied to biases based on a variety network centrality measures including PageRank. It is shown that with biased random walkers as the dynamics on the network, extreme event probabilities depend on the local properties of the edges. The probabilities are highly variable for some edges of the network, while they are approximately a constant for some other edges on the same network. This feature is robust with respect to different biases applied to the random walk algorithm. Further, using the results from this formalism, it is shown that a network is far more robust to extreme events occurring on edges when compared to those occurring on the nodes.en_US
dc.language.isoenen_US
dc.publisherAmerican Physical Societyen_US
dc.subjectCentralityen_US
dc.subject2022-FEB-WEEK3en_US
dc.subjectTOC-FEB-2022en_US
dc.subject2022en_US
dc.titleBiased random walkers and extreme events on the edges of complex networksen_US
dc.typeArticleen_US
dc.contributor.departmentDept. of Physicsen_US
dc.identifier.sourcetitlePhysical Review Een_US
dc.publication.originofpublisherForeignen_US
Appears in Collections:JOURNAL ARTICLES

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.