7:00 – 5:00 ASRC

• Here’s Where Donald Trump Gets His News

  • It would be interesting to do a crawl on those sources (weighted by the amount visited?) and do a word model analysis.
• Continuing with Sociophysics
  • Page 25 discusses Marian Boguña et al Models of Social Networks based on Social Distance Attachment which uses the concept of social distance. A set of quantities (e.g. profession, religion, location) are used and the social distance between two individuals is the difference in the quantities.
  • More state-space simulation from page 28: Spin-glass-like Dynamics of Social Networks. Digging around uncovered her thesis: Information and Entropy in Neural Networks and Interacting Systems. From the abstract:
    • Like neural networks, large ensembles of similar units that interact also need a generalization of classical information-theoretic concepts. We extend the concept of Shannon entropy in a novel way, which may be relevant when we have such interacting systems, and show how it differs from Shannon entropy and other generalizations, such as Tsallis entropy.
  • Mean Field Approximation – In physics and probability theory, mean field theory (MFT also known as self-consistent field theory) studies the behavior of large and complex stochastic models by studying a simpler model. Such models consider a large number of small individual components which interact with each other. The effect of all the other individuals on any given individual is approximated by a single averaged effect, thus reducing a many-body problem to a one-body problem.
• Fixed the header problem in Labled2dMatrix.fromExcelSheet()
• Here’s the term extraction using NMF with a k = 2:

  chapter-3-the-spouter-inn, chapter-1-loomings, chapter-2-the-carpet-bag
  harpooneer
  water
  landlord
  about
  light
  stand
  thousand
  other
  night
  passenger
  
  chapter-2-the-carpet-bag, chapter-4-the-counterpane, chapter-1-loomings
  queequeg
  landlord
  harpooneer
  sailor
  money
  nantucket
  passenger
  sight
  where
  dream

• And here are the document clusters. Just looking at this, I see that each term-triple (the top three from the above list) could easily cluster into three groups each:

  queequeg-landlord-harpooneer
  chapter-2-the-carpet-bag 4.158255493
  chapter-4-the-counterpane 2.889135473
  chapter-1-loomings 2.370002854
  chapter-3-the-spouter-inn 0.651989511
  
  harpooneer-water-landlord
  chapter-3-the-spouter-inn 7.111998945
  chapter-1-loomings 1.72918472
  chapter-2-the-carpet-bag 1.157125575
  chapter-4-the-counterpane 0.000284084

• Working on incorporating the factor matrices into the NmfModelGui. Looks like I use Maps as discussed at the bottom of this page. Building a L2DMat2Table class that should take care of doing this for each matrix.
• Some thoughts abut Jobs, work and the Amish. Are they economically competitive? Value-add? Why does this work?
• Fika talk Dr. Quincey Brown
  • Educational Games – Microsoft Imagine Cup
  • Mobile intelligent tutoring systems. Math on iPads
  • Children using touch and gesture. Different than adult usage?
  • Broadening participation in computing, Grace Hopper, etc.
  • Science and Technology fellowships at the AAAS (during healthcare.gov launch)
  • White House nation of makers
  •  No real effort to cultivate press relationships and new media ways to get the word out.Leverage YouTube?
• Meeting with Wayne
  • Latent social hacking
• Getting a server
  • Contact Ron for an abandoned Blade
  • Campus cluster (underutilized) Free Student access (Damian Doyle) HPCF.umbc.edu. Write a note for Wayne to send.
  • UMBC agreement with AWS
• Note to Wayne on getting a Google grant