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-can find p_s ourselves — don’t need to restrict to earlier papers
-cutoff at three steps vs no cutoff — compare for appendix
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-how would epidemiologists approach this
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-demographics — risk factors for infection
-similarity — e.g. exposure to people diff age from you
-gang membership as binary, also if in same gang
-propensity score for beta values?
-model vs model with demographics?
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-goal — don’t get laughed at. just get into review and revision
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-try for hybrid model
-that could be a separate paper
-could show more possible infections, or people who could have been infected by multiple people so involved in a cascade
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-how accurate are cascades? — show scores
-can cascades predict what happened
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-understanding cascades can help save x lives
-what percent of shootings were result of cascades
-can we distinguish which ones are not
-distribution cascade/individuals over time or given certain traits
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-add in fatal shootings — just so it looks the same in the network
-can compare which are more likely to cause infections
-all we’re looking for is exposure so someone who is shot and killed can still infect a friend
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-try multiple vs single infections, for people who have been shot multiple times. compare results
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