Phil 11.22.16

7:00 – 5:00 ASRC

  • Worked on getting the spreadsheet of conferences, journals and grant started
  • Continuing Opinion Dynamics With Decaying Confidence: Application to Community Detection in Graphs. Details here.
    • When δ increases, the communities become smaller but more densely connected.
    • It should be very interesting to look at belief velocity at different scales.
  • A Plethora of Data Set Repositories
  • More NMF. Getting closer
  • Installing Python on the laptop for discussion with Don
  • Got everything working in java! Need to move the dot product code into Labeled2DMatrix and flesh out the other cases.
    rMat
     , D1, D2, D3, D4, 
    U1, 5, 3, 0, 1, 
    U2, 4, 0, 0, 1, 
    U3, 1, 1, 0, 5, 
    U4, 1, 0, 0, 4, 
    U5, 0, 1, 5, 4, 
    
    rowMat
    
    U1, 0.67, 0.89, 
    U2, 0.36, 0.47, 
    U3, 0.51, 0.27, 
    U4, 0.11, 0.84, 
    U5, 0.23, 0.88, 
    
    colMat
    
    D1, 0.36, 0.68, 
    D2, 0.84, 0.06, 
    D3, 0.07, 0.06, 
    D4, 0.65, 0.16, 
    
    steps = 5000
    
    P
    Array2DRowRealMatrix{{0.1714659334,2.4334642215},{0.2222526463,1.8424266034},{1.8809519431,0.3877676639},{1.5002592207,0.3319796716},{1.398228183,1.5413729554}}
    
    Q
    Array2DRowRealMatrix{{0.1642944844,0.083284122,1.152720993,2.6155442597},{2.0998133805,1.0434120295,2.0884233062,0.228777745}}
    
    rowMat
    
    U1, 0.17, 2.43, 
    U2, 0.22, 1.84, 
    U3, 1.88, 0.39, 
    U4, 1.5, 0.33, 
    U5, 1.4, 1.54, 
    
    colMat
    
    D1, 0.16, 2.1, 
    D2, 0.08, 1.04, 
    D3, 1.15, 2.09, 
    D4, 2.62, 0.23, 
    
    newMat
     , D1, D2, D3, D4, 
    U1, 5.14, 2.55, 5.28, 1.01, 
    U2, 3.91, 1.94, 4.1, 1, 
    U3, 1.12, 0.56, 2.98, 5.01, 
    U4, 0.94, 0.47, 2.42, 4, 
    U5, 3.47, 1.72, 4.83, 4.01,
  • Meeting with Don.
    • Looked through the modelling and UTOPIAN papers, and walked through some of the math. We’ll meet next Friday to try to convert some of the equations into java code
  • Meeting with Shimei
    • There are ways of getting better stability with LDA. Still ok to do NMF, though there may be issues with scaling. That’s where a stable version of LDA might make sense.
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