File:Polarização e metaestabilidade num modelo de rede social.webm

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Original file (WebM audio/video file, VP9/Opus, length 2 min 35 s, 1,920 × 1,080 pixels, 1.78 Mbps overall, file size: 32.92 MB)

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Description
Português: O doutorando do IME-USP e do CEPID NeuroMat, Kádmo de Souza Laxa, apresenta sua pesquisa sobre a construção de um modelo que demonstra como acontece a polarização nas redes sociais. Este vídeo fez parte da 3ª Edição do Prêmio Vídeo Pós-Graduação USP.
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Source YouTube: Polarização e metaestabilidade num modelo de rede social – View/save archived versions on archive.org and archive.today
Author Comunicação NeuroMat

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RDCI NeuroMat

CC-BY-SA 4.0
This media was produced by NeuroMat and was licensed as Creative Commons BY-SA 4.0. The Research, Innovation and Dissemination Center for Neuromathematics (RIDC NeuroMat) is a Brazilian research center hosted by the University of São Paulo and funded by the São Paulo Research Foundation (FAPESP).

Attribution in English: RIDC NeuroMat
Attribution in Portuguese: CEPID NeuroMat
w:en:Creative Commons
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This file is licensed under the Creative Commons Attribution-Share Alike 4.0 International license.
Attribution: RIDC NeuroMat
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This file, which was originally posted to https://www.youtube.com/watch?v=zDdLoqdHrH4, was reviewed on 8 February 2022 by reviewer LicenseReviewerBot, who confirmed that it was available there under the stated license on that date.

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Date/TimeThumbnailDimensionsUserComment
current05:44, 8 February 20222 min 35 s, 1,920 × 1,080 (32.92 MB)Thaismay (talk | contribs)Imported media from uploads:7c3e31e8-889b-11ec-be16-56dbdb266599

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Format Bitrate Download Status Encode time
VP9 1080P 1.03 Mbps Completed 05:50, 8 February 2022 6 min 3 s
VP9 720P 582 kbps Completed 05:47, 8 February 2022 3 min 36 s
VP9 480P 369 kbps Completed 05:47, 8 February 2022 3 min 3 s
VP9 360P 239 kbps Completed 05:46, 8 February 2022 2 min 27 s
VP9 240P 166 kbps Completed 05:45, 8 February 2022 1 min 33 s
WebM 360P 478 kbps Completed 05:45, 8 February 2022 1 min 23 s
QuickTime 144p (MJPEG) 943 kbps Completed 01:02, 24 November 2024 23 s

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