File:Equal-Graph-Partitioning-on-Estimated-Infection-Network-as-an-Effective-Epidemic-Mitigation-Measure-pone.0022124.s001.ogv
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DescriptionEqual-Graph-Partitioning-on-Estimated-Infection-Network-as-an-Effective-Epidemic-Mitigation-Measure-pone.0022124.s001.ogv |
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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current | 14:46, 29 May 2013 | 35 s, 1,140 × 1,230 (1.57 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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Author | Hadidjojo J, Cheong S |
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Usage terms | http://creativecommons.org/licenses/by/3.0/ |
Image title | SIR epidemic on an artificial social network. In this video, an SIR epidemic spreads through an artificial social network with N? |
Software used | Xiph.Org libtheora 1.1 20090822 (Thusnelda) |
Date and time of digitizing | 2011 |