tag: 'time embedding'

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    1. May 2020
    2. psyarxiv.com psyarxiv.com
      Modeling latent topics in social media using Dynamic Exploratory Graph Analysis: The case of the right-wing and left-wing trolls in the 2016 US elections
      1
      1. edampf 29 May 2020
        in BehSci

        Golino, H., Christensen, A. P., Moulder, R. G., Kim, S., & Boker, S. M. (2020, April 14). Modeling latent topics in social media using Dynamic Exploratory Graph Analysis: The case of the right-wing and left-wing trolls in the 2016 US elections. https://doi.org/10.31234/osf.io/tfs7c

        is:preprint lang:en dynamics latent topic analysis network model text mining time embedding social media troll USA election 2016 right-wing left-wing simulation modeling Russia Twitter research
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      Tags

      • troll
      • election
      • research
      • Twitter
      • network model
      • text mining
      • Russia
      • dynamics
      • time embedding
      • latent topic analysis
      • modeling
      • lang:en
      • 2016
      • social media
      • simulation
      • left-wing
      • right-wing
      • is:preprint
      • USA

      Annotators

      • edampf

      URL

      psyarxiv.com/tfs7c/
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