File:Emergence-of-core–peripheries-in-networks-ncomms10441-s2.ogv

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Emergence-of-core–peripheries-in-networks-ncomms10441-s2.ogv(Ogg Theora video file, length 50 s, 560 × 420 pixels, 383 kbps, file size: 2.28 MB)

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English: Supplementary Movie 1 An animated illustration of the relationship between popularity of a node and its load. As the cost of the system, ϑ, increases, this relationship starts breaking. The color map shows the coreness of nodes in the network and at each cost step the nodes change color. In the beginning in regime A the nodes are all of the same color indicating that they have the same coreness. As the cost increases, the high coreness nodes start to appear at nodes that have a high initial popularity; the ones forming hubs for the core. After a certain cost when the network is close to the end of the critical window, there are only two colors that appear for two different layers of coreness showing that a bigger core encapsulated the inner core to break this characteristic feature of the network. In regime C, the network shows only one color (layer) indicating the start of the tree-like regime.
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Source Video file from Verma T, Russmann F, Araújo N, Nagler J, Herrmann H (2016). "Emergence of core–peripheries in networks". Nature Communications. DOI:10.1038/ncomms10441. PMID 26822856. PMC: 4740181.
Author Verma T, Russmann F, Araújo N, Nagler J, Herrmann H
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Date/TimeThumbnailDimensionsUserComment
current12:18, 29 October 201650 s, 560 × 420 (2.28 MB)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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Format Bitrate Download Status Encode time
VP9 360P 118 kbps Completed 19:07, 25 August 2018 15 s
Streaming 360p (VP9) 119 kbps Completed 17:21, 7 February 2024 1.0 s
VP9 240P 60 kbps Completed 19:07, 25 August 2018 8.0 s
Streaming 240p (VP9) 60 kbps Completed 20:02, 18 December 2023 1.0 s
WebM 360P 419 kbps Completed 13:32, 29 October 2016 19 s
Streaming 144p (MJPEG) 374 kbps Completed 01:06, 10 November 2023 1.0 s

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