File:Equal-Graph-Partitioning-on-Estimated-Infection-Network-as-an-Effective-Epidemic-Mitigation-Measure-pone.0022124.s001.ogv

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English: SIR epidemic on an artificial social network. In this video, an SIR epidemic spreads through an artificial social network with N = 1,000 nodes, 1,584 links, average degree <k> = 3.168 and clustering coefficient C = 0.3928. The artificial social network is generated using the Jin-Girvan-Newman algorithm (Jin, Girvan, and Newman, 2001). The transmission probability used for this SIR epidemic is p = 0.80, and infected nodes recover after tR = 1 time step.
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Source Video S1 from Hadidjojo J, Cheong S (2011). "Equal Graph Partitioning on Estimated Infection Network as an Effective Epidemic Mitigation Measure". PLOS ONE. DOI:10.1371/journal.pone.0022124. PMID 21799777. PMC: 3142118.
Author Hadidjojo J, Cheong S
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VP9 1080P 202 kbps Completed 00:00, 26 August 2018 13 s
Streaming 1080p (VP9) 202 kbps Completed 21:30, 6 February 2024 1.0 s
VP9 720P 73 kbps Completed 23:59, 25 August 2018 8.0 s
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Streaming 240p (VP9) 11 kbps Completed 21:57, 20 December 2023 1.0 s
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