7:00 – 8:00 Research

• This Is Why Trump’s Conspiracy Theories Work, Say Experts
• Good advice on writing papers
• Setting up to get clustering data.
  • Explore/Exploit ratio 50/50
  • Explore will be in the flocking range: 0.1 – 1.6
  • Exploit will be in the echo chamber stage: 3.2 – 10.0
  • Cluster EPS of 0.25 gives good diversity
  • Create a DataFrame from the “Cluster ID” sheet
  • Ran the sims, but the default destination is wrong. Re-running
  • Discriminate between explorer and exploiter cluster membership over time
    • Clusters the agent belonged to
    • Will need to post-process to fix cluster switching. Probably taking all the cluster average positions and applying the a common ID if the difference between the samples is less than a given delta

8:30 – 3:30 BRC

• Generating data for clustering
• Will try to read in and merge the DataFrames so that I have position (angle or origin distance) to calculate group persistence
• Human Motion Recognition Using Isomap and Dynamic Time Warping
• Fixing DataFrames. Mostly this is a case of bad data handling. This is in the data:

  359000.00,836,2,2,4,0,1,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,#<Geocoder::Result::Bing:0x007fe9a1b39718>,#<Geocoder::Result::Bing:0x007fe9a1b39150>

  Which means that we have to handle ‘#<Geocoder::Result::Bing:0x007fe9a1b39718>,#<Geocoder::Result::Bing:0x007fe9a1b39150>. I am very disappointed in this book

• Giving up. Wrote a review. Monday I’ll try doing joins on Dataframes. That being said, I learned a lot on how to check for errors.
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