{\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}