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library(igraph)
setwd("~/Documents/Cascade Project/")
load('Raw Data/lcc.RData')
lcc_verts = get.data.frame(lcc,'vertices')
lcc_edges = get.data.frame(lcc,'edges')
##### Create new vertices dataframe
cols = c('id','ir_no','sex','race','dob','age.arrest','arrest.day',
'gang.member','gang.name','faction.name')
hyp_lcc_verts = data.frame(matrix(ncol=length(cols)+1,nrow=0))
colnames(hyp_lcc_verts) = c(cols,'spawn.date')
ptm = proc.time()
ri = 1
for (i in 1:dim(lcc_verts)[1]){
if (i%%10000==0) print(i)
if (lcc_verts$vic[i]){
if (lcc_verts$vic.nonfatal[i]>0){
# create nodes for each nonfatal shooting
for (nf in 1:lcc_verts$vic.nonfatal[i]){
hyp_lcc_verts[ri,cols] = lcc_verts[i,cols]
hyp_lcc_verts$id[ri] = ri
hyp_lcc_verts$vic[ri] = T
hyp_lcc_verts$vic.type[ri] = 'nonfatal'
if(nf==1){
hyp_lcc_verts$vic.day[ri] = lcc_verts$nonfatal_day_1[i]
hyp_lcc_verts$spawn.date[ri] = 0
} else if(nf==2){
hyp_lcc_verts$vic.day[ri] = lcc_verts$nonfatal_day_2[i]
hyp_lcc_verts$spawn.date[ri] = lcc_verts$nonfatal_day_1[i]
} else if(nf==3){
hyp_lcc_verts$vic.day[ri] = lcc_verts$nonfatal_day_3[i]
hyp_lcc_verts$spawn.date[ri] = lcc_verts$nonfatal_day_2[i]
} else if(nf==4){
hyp_lcc_verts$vic.day[ri] = lcc_verts$nonfatal_day_4[i]
hyp_lcc_verts$spawn.date[ri] = lcc_verts$nonfatal_day_3[i]
} else if(nf==5){
hyp_lcc_verts$vic.day[ri] = lcc_verts$nonfatal_day_5[i]
hyp_lcc_verts$spawn.date[ri] = lcc_verts$nonfatal_day_4[i]
}
ri = ri+1
}
# if no fatal infection, create uninfected duplicate
if (!lcc_verts$vic.fatal[i]){
hyp_lcc_verts[ri,cols] = lcc_verts[i,cols]
hyp_lcc_verts$id[ri] = ri
hyp_lcc_verts$vic[ri] = F
hyp_lcc_verts$vic.type[ri] = NA
hyp_lcc_verts$vic.day[ri] = NA
hyp_lcc_verts$spawn.date[ri] = max(lcc_verts$nonfatal_day_1[i],lcc_verts$nonfatal_day_2[i],
lcc_verts$nonfatal_day_3[i],lcc_verts$nonfatal_day_4[i],
lcc_verts$nonfatal_day_5[i],na.rm=T)
ri = ri+1
}
}
# create a node for each fatal shooting
# if also nonfatal shootings, spawn at last nonfatal shooting
if (lcc_verts$vic.fatal[i]){
hyp_lcc_verts[ri,cols] = lcc_verts[i,cols]
hyp_lcc_verts$id[ri] = ri
hyp_lcc_verts$vic[ri] = T
hyp_lcc_verts$vic.type[ri] = 'fatal'
hyp_lcc_verts$vic.day[ri] = lcc_verts$fatal_day[i]
if (lcc_verts$vic.nonfatal[i]>0){
hyp_lcc_verts$spawn.date[ri] = max(lcc_verts$nonfatal_day_1[i],lcc_verts$nonfatal_day_2[i],
lcc_verts$nonfatal_day_3[i],lcc_verts$nonfatal_day_4[i],
lcc_verts$nonfatal_day_5[i],na.rm=T)
} else {
hyp_lcc_verts$spawn.date[ri] = 0
}
ri = ri+1
}
}
# create an uninfected node for each uninfected person
else{
hyp_lcc_verts[ri,cols] = lcc_verts[i,cols]
hyp_lcc_verts$id[ri] = ri
hyp_lcc_verts$vic[ri] = F
hyp_lcc_verts$vic.type[ri] = NA
hyp_lcc_verts$vic.day[ri] = NA
hyp_lcc_verts$spawn.date[ri] = 0
ri = ri+1
}
}
print(proc.time()-ptm) # 1.5 hrs
row.names(hyp_lcc_verts) = NULL
n.nodes = sum(sum(V(lcc)$vic.fatal),sum(V(lcc)$vic.nonfatal),
sum(V(lcc)$vic.nonfatal>0 & !V(lcc)$vic.fatal),sum(V(lcc)$vic==FALSE))
stopifnot(dim(hyp_lcc_verts)[1] == n.nodes)
##### Create new edgelist
print('Edges')
hyp_lcc_edges = data.frame(from=0, to=0, weight=0)
ei = 1
ptm = proc.time()
for(i in 1:dim(hyp_lcc_verts)[1]){
if (i%%10000==0) print(i)
ego_id = hyp_lcc_verts$id[i]
ego_ir = hyp_lcc_verts$ir_no[i]
alter_irs = union(lcc_edges$from[which(lcc_edges$to==ego_ir)],
lcc_edges$to[which(lcc_edges$from==ego_ir)])
# alter_irs = union(ego_ir, alter_irs) # add edges to other infected selves
alter_ids = hyp_lcc_verts$id[which(hyp_lcc_verts$ir_no %in% alter_irs)]
alter_ids = alter_ids[ego_id<alter_ids] # avoid double-counting edges
for(alter_id in alter_ids){
weight=Inf
alter_ir = hyp_lcc_verts$ir_no[alter_id]
if(ego_ir!=alter_ir){
edge_id = which((lcc_edges$from %in% c(ego_ir,alter_ir) + lcc_edges$to %in% c(ego_ir,alter_ir))==2)
weight = lcc_edges$weight[edge_id]
}
hyp_lcc_edges[ei,] = c(ego_id, alter_id, weight)
ei = ei + 1
}
}
print(proc.time()-ptm) #10 hrs
##### Create new graph
hyp_lcc = graph.data.frame(hyp_lcc_edges, directed=FALSE, vertices=hyp_lcc_verts)
save(hyp_lcc_edges, hyp_lcc_verts, hyp_lcc, file='Results/hyper-lcc.RData')
write.csv(hyp_lcc_edges, file='Results/hyp_lcc_edges.csv')
write.csv(hyp_lcc_verts[,c('id','spawn.date','vic','vic.type','vic.day')], file='Results/hyp_lcc_verts.csv')
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