File:Cascading-Failures-in-Spatially-Embedded-Random-Networks-pone.0084563.s005.ogv

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Original file ‎(Ogg Theora video file, length 12 s, 1,024 × 1,024 pixels, 220 kbps, file size: 323 KB)

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Description
English: Example visualization of cascading failure – cascade model on an empirical spatial network, here: the UCTE network (European power transmission network), based on grid data from 2002 (the UCTE network in 2002 consisted of 1254 transmission stations, spanning 18 European countries).

Movie S3 (original caption):

Progression of a cascade initiated by a spatially localized removal of 9 nodes.
Color and node size conventions are as explained in caption for Movie S1. The tolerance parameter used here is α = 0.15. The number of nodes removed in the course of the cascade is 297, and the number of nodes in the surviving giant component is 329.
Date
Source Movie S3 from Asztalos A, Sreenivasan S, Szymanski B, Korniss G (2014). "Cascading Failures in Spatially-Embedded Random Networks". PLOS ONE. DOI:10.1371/journal.pone.0084563. PMC: 3882255.
Author Asztalos A, Sreenivasan S, Szymanski B, Korniss G
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This file is licensed under the Creative Commons Attribution 4.0 International license.
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  • Movie S2
  • Movie S4
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This file was transferred to Wikimedia Commons from PubMed Central by way of the Open Access Media Importer.
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Date/TimeThumbnailDimensionsUserComment
current02:47, 9 January 201412 s, 1,024 × 1,024 (323 KB)Open Access Media Importer Bot (talk | contribs)Automatically uploaded media file from Open Access source. Please report problems or suggestions here.

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VP9 720P 88 kbps Completed 09:42, 21 August 2018 2.0 s
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VP9 480P 45 kbps Completed 09:42, 21 August 2018 2.0 s
Streaming 480p (VP9) 45 kbps Completed 15:50, 14 January 2024 0.0 s
VP9 360P 27 kbps Completed 09:41, 21 August 2018 2.0 s
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VP9 240P 15 kbps Completed 09:41, 21 August 2018 1.0 s
Streaming 240p (VP9) 15 kbps Completed 11:01, 5 December 2023 1.0 s
WebM 360P 70 kbps Completed 02:48, 9 January 2014 2.0 s
Streaming 144p (MJPEG) 77 kbps Completed 21:55, 1 November 2023 0.0 s

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