1 files changed, 28 insertions, 23 deletions
diff --git a/R Scripts/analyze-cascades.R b/R Scripts/analyze-cascades.R
index e758d60..b1ce3c3 100755
--- a/R Scripts/analyze-cascades.R
+++ b/R Scripts/analyze-cascades.R
@@ -1,25 +1,40 @@
-# library(igraph)
-# setwd("~/Documents/Cascade Project/")
-# 
-# load('Results/dag_dat_all.RData')
-# load('Results/weight-12-1-14.RData')
-# load('Results/hyper-lcc.RData')
+library(igraph)
+setwd("~/Documents/Violence Cascades/")
 
-# dag = graph.edgelist(as.matrix(dag_dat[,1:2]))
-# dag = set.edge.attribute(dag,'weight',value=weight)
-# dag_dat = dag_dat[which(E(dag)$weight>=0.4),]
-# dag = delete.edges(dag, which(E(dag)$weight<0.4))
+# plot cascade sizes
+data = read.csv('Results/components_dist-91515.csv',header=F)
+data = data[order(data$V1),]
+sizes = data$V1
+counts = data$V2
+plot(sizes,counts,log='xy',type='o',lwd=3,
+     xlab='Size of Cascade', ylab='Number of Cascades', main='Distribution of Cascade Sizes')
 
+
+# plot cascades
+edges = read.csv('Results/edges-91515.csv',header=F,
+                 col.names=c('v1','t1','v2','t2','dist'))
+for(id in unique(union(edges$v1,edges$v2))){
+  e = edges[union(match(id,edges$v1), match(id,edges$v2)),]
+  times = sort(union(e$t1[e$v1==id],e$t2[e$v2==id]))
+  if (length(times)>1){
+    for(time in times[-1]){
+      idx = which(time==times)
+      edges$v1[as.numeric(rownames(e))[e$t1==time]] = e$v1[e$t1==time] + (idx-1)/length(times)
+      edges$v2[as.numeric(rownames(e))[e$t2==time]] = e$v2[e$t2==time] + (idx-1)/length(times)
+    }
+  }
+}
+dag = graph.data.frame(edges[,c(1,3)], directed=TRUE)
 table(clusters(dag)$csize)
 
+
+
+
 clusters = clusters(dag)
 membership = clusters$membership
 csize = clusters$csize
 order = rev(order(csize))
 
-#use table not hist
-plot(sizes,counts,log='xy',type='o',lwd=3,
-     xlab='Size of Cascade', ylab='Number of Cascades', main='Distribution of Cascade Sizes')
 
 i = 4
 V = which(clusters(dag)$membership==order[i]) # get all nodes in cluster
@@ -46,14 +61,4 @@ indeg = degree(cc,mode='in')
 outdeg = degree(cc,mode='out')
 ds = mean(cc_dat$dist)
 
-### node demographic statistics
-from = vic_ids[cc_dat$from]
-to = vic_ids[cc_dat$to]
-V(lcc)$sex[from] == V(lcc)$sex[to]
-V(lcc)$sex[Vi]
-V(lcc)$race[Vi]
-as.numeric(V(lcc)$age[Vi])
-V(lcc)$gang.member[Vi]
-V(lcc)$gang.name[Vi]
-V(lcc)$faction.name[Vi]