File:Topological-Small-World-Organization-of-the-Fibroblastic-Reticular-Cell-Network-Determines-Lymph-pbio.1002515.s008.ogv

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Original file(Ogg Theora video file, length 40 s, 1,920 × 1,080 pixels, 809 kbps, file size: 3.86 MB)

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English: FRC network fragmentation kinetics under random node removal. Topological model of the 3-D-reconstructed FRC network (0 ng/g) under random node removal for one simulation (left panel). Fraction of nodes removed f and number of remaining nodes / initial number of nodes are displayed in the bottom left. Green nodes denote the largest connected cluster of nodes, and blue nodes denote fragmented clusters. Perturbation analysis of the FRC network had the following network parameters: relative size of the largest connected cluster (compared to initial network size), shortest path length, local clustering coefficient, and small-world σ factor over fraction of nodes removed. Data represent mean ± SD over 1,000 simulations for one representative FRC network dataset. Dashed lines represent minimal damage line (top left), network threshold point at maximal value of shortest path length (vertical line, top right), local clustering coefficient of the initial FRC network (horizontal line, bottom left), and the small-world σ factor of the initial FRC network (horizontal line, bottom right).
Date
Source S2 Video from Novkovic M, Onder L, Cupovic J, Abe J, Bomze D, Cremasco V, Scandella E, Stein J, Bocharov G, Turley S, Ludewig B (2016). "Topological Small-World Organization of the Fibroblastic Reticular Cell Network Determines Lymph Node Functionality". PLOS Biology. DOI:10.1371/journal.pbio.1002515. PMID 27415420. PMC: 4945005.
Author Novkovic M, Onder L, Cupovic J, Abe J, Bomze D, Cremasco V, Scandella E, Stein J, Bocharov G, Turley S, Ludewig B
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Date/TimeThumbnailDimensionsUserComment
current20:55, 18 October 201640 s, 1,920 × 1,080 (3.86 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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VP9 1080P 304 kbps Completed 19:22, 23 October 2018 30 s
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