require(igraph) 

edgelist<-read.delim('/Users/ackman/Documents/MATLAB/dCorrpairs-20131105-125023.txt')

edgelist2<-subset(edgelist,rvalue > 0.1)


g <- graph.data.frame(edgelist2, directed=FALSE)
#V(g)$label <- V(g)$name  #gets the actual vertice labels
plot(g,layout=layout.lgl,vertex.size=5)
title('layoutLgl, vertex size5')

quartz();
plot(g, layout=layout.fruchterman.reingold, vertex.size=3)
title('layoutFR, vertex size3')

quartz();
com <- spinglass.community(g, spins=5)   #finds communities
V(g)$color <- com$membership+1
plot(g, layout=layout.fruchterman.reingold)
title('spinglass, layoutFR, default vertex size')


walktrapCom<-walktrap.community(g)
V(g)$color <- walktrapCom$membership+1

quartz();
palette(rainbow(max(V(g)$color),alpha=0.5))
plot(g, layout=layout.fruchterman.reingold)
palette("default")
title('walktrap, layoutFR, default vertex size,alpha0.5')


quartz();
palette(rainbow(max(V(g)$color),alpha=0.5))
plot(g, layout=layout.lgl)
palette("default")
title('walktrap, layoutLgl, default vertex size,alpha0.5')


quartz();
palette(rainbow(max(V(g)$color),alpha=0.5))
plot(g, layout=layout.kamada.kawai)
palette("default")
title('walktrap, layout.kamada.kawai, default vertex size,alpha0.5')

g <- graph.data.frame(edgelist2, directed=FALSE)
fastgreedyCom<-fastgreedy.community(g)
V(g)$color <- fastgreedyCom$membership+1
quartz();
palette(rainbow(max(V(g)$color),alpha=0.5))
plot(g, layout=layout.kamada.kawai)
palette("default")
title('fastgreedy, layout.kamada.kawai, default vertex size,alpha0.5')




edgelist2<-subset(edgelist,rvalue > 0.1)
g <- graph.data.frame(edgelist2, directed=FALSE)
fastgreedyCom<-fastgreedy.community(g)
V(g)$color <- fastgreedyCom$membership+1
quartz();
palette(rainbow(max(V(g)$color),alpha=0.5))
plot(g, layout=layout.fruchterman.reingold)
palette("default")
title('fastgreedy, layout.fruchterman.reingold, default vertex size,alpha0.5')




# Edgelist > 0.2

edgelist2<-subset(edgelist,rvalue > 0.2)
g <- graph.data.frame(edgelist2, directed=FALSE)
fastgreedyCom<-fastgreedy.community(g)
V(g)$color <- fastgreedyCom$membership+1
quartz();
palette(rainbow(max(V(g)$color),alpha=0.5))
plot(g, layout=layout.fruchterman.reingold)
palette("default")
title('fastgreedy, layout.fruchterman.reingold, rvalue >0.2')


degree(g)
degree.distribution(g)
degree.distribution(g,cumulative = TRUE)




#------Histogram of degree distribution-------------------------------------------------------------
df <- data.frame(degree(g))
colnames(df) <- c("degree")
p <- ggplot(df, aes(x=degree)) + xlab("degree") + theme_bw()
p + geom_histogram(binwidth = 2) + scale_colour_brewer(palette="Set1") + opts(aspect.ratio=1)  #raw counts
ggsave(file=paste("120518_07-degreeDist", format(Sys.time(),"%y%m%d-%H%M%S"), ".pdf",sep=""))