Show simple item record

dc.contributor.authorTauch, Sen_NZ
dc.contributor.authorLiu, Wen_NZ
dc.contributor.authorPears, Ren_NZ
dc.date.accessioned2016-01-19T23:23:53Z
dc.date.available2016-01-19T23:23:53Z
dc.date.copyright2015-06-01en_NZ
dc.identifier.citation2015 IEEE Conference on Computer Communications (INFOCOM) , 2015-04-26 to 2015-05-01, published in: 2015 IEEE Conference on Computer Communications (INFOCOM), pp.683 - 688 (6)en_NZ
dc.identifier.urihttp://hdl.handle.net/10292/9368
dc.description.abstractUnderstanding the correlation between the underlie network structure and overlay cascade effects in the interdependent networks is one of major challenges in complex network studies. There are some existing metrics that can be used to measure the cascades. However, different metrics such as average node degree interpret different characteristic of network topological structure, especially less metrics have been identified to effectively measure the cascading performance in interdependent networks. In this paper, we propose to use a combined Laplacian matrix to model the interdependent networks and their interconnectivity, and then use its effective resistance metric as an indicator to its cascading behavior. Moreover, we have conducted extensive comparative studies among different metrics such as average node degree, and the proposed effective resistance. We have found that the effective resistance metric can describe more accurate and finer characteristics on topological structure of the interdependent networks than average node degree which is widely adapted by the existing research studies for measuring the cascading performance in interdependent networks.
dc.publisherIEEE
dc.relation.urihttp://dx.doi.org/10.1109/INFCOMW.2015.7179465en_NZ
dc.rightsCopyright © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.subjectInterconnected networks; Network robustness; Topopogical metrics; Effective graph resistance; Average node degree; Cascade effects
dc.titleMeasuring cascade effects in interdependent networks by using effective graph resistanceen_NZ
dc.typeConference Contribution
dc.rights.accessrightsOpenAccessen_NZ
dc.identifier.doi10.1109/INFCOMW.2015.7179465en_NZ
aut.relation.endpage688
aut.relation.pages6
aut.relation.startpage683
pubs.elements-id192914


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record