PIPELINE:
data-prep — generate co-offending network and lcc
create-hyper-lcc — generate new network with a unique node for each infection
generate-dag-dat — generate a dag data frame based on possible infection edges
find-cascades — 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