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{\rtf1\ansi\ansicpg1252\cocoartf1344\cocoasubrtf720
{\fonttbl\f0\fswiss\fcharset0 Helvetica;}
{\colortbl;\red255\green255\blue255;}
\margl1440\margr1440\vieww10800\viewh8400\viewkind0
\pard\tx720\tx1440\tx2160\tx2880\tx3600\tx4320\tx5040\tx5760\tx6480\tx7200\tx7920\tx8640\pardirnatural
\f0\fs24 \cf0 PIPELINE:\
data-prep \'97 generate co-offending network and lcc\
create-hyper-lcc \'97 generate new network with a unique node for each infection\
generate-dag-dat \'97 generate a dag data frame based on possible infection edges\
find-cascades \'97 calculate edge weights and find transmission edges, yielding a forest of cascades\
\
OTHER FILES:\
analyze-cascades: simple code to analyze cascades the model generates\
compare-sim:\
data-exploration:\
lm: linear model to predict victims based on demographic and other features\
plot-graph:\
sim-analysis:\
simulate-infections:\
structural: function to calculate the structural component of the infection model\
temporal: function to calculate the temporal component of the infection model}
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