# part of the Statnet suite # of packages for network analysis, http://statnet.org . # # This software is distributed under the GPL-3 license. It is free, # open source, and has the attribution requirements (GPL Section 7) at # http://statnet.org/attribution # # Copyright 2012-2013 Statnet Commons ####################################################################### #test drawing networks with weighted edges require(ndtv) test <- network.initialize(5,directed=F) test[1,2]<-1 test[3,2]<-1 test[1,3]<-1 test[1,4]<-1 test[5,1]<-1 test[4,5]<-1 activate.edge.attribute(test,'weight',value=1,onset=0,terminus=5) activate.edge.attribute(test,'weight',value=2,onset=1,terminus=2,e=2) activate.edge.attribute(test,'weight',value=3,onset=2,terminus=3,e=2) activate.edge.attribute(test,'weight',value=10,onset=3,terminus=4,e=2) activate.edge.attribute(test,'weight',value=0.8,onset=1,terminus=2,e=5) activate.edge.attribute(test,'weight',value=0.5,onset=2,terminus=3,e=5) activate.edge.attribute(test,'weight',value=0.2,onset=3,terminus=4,e=5) # test drawing them with different widths slice.par<-list(start=0,end=3,interval=1, aggregate.dur=1,rule="latest") test <-compute.animation(test,slice.par=slice.par,animation.mode="kamadakawai") render.animation(test,render.par=list(tween.frames=10,show.time=T),edge.lwd='weight',edge.label='weight') # test using default weights created by network.collapse test <- network.initialize(5,directed=F) test[1,2]<-1 test[3,2]<-1 test[1,3]<-1 test[1,4]<-1 test[5,1]<-1 test[4,5]<-1 activate.edges(test,onset=c(1,3,5),terminus=c(2,4,6),e=c(1,1,1)) activate.edges(test,onset=0,terminus=6,e=2:6) slice.par<-list(start=-3,end=6,interval=1, aggregate.dur=3,rule="latest") test <-compute.animation(test,slice.par=slice.par,animation.mode="MDSJ",weight.attr='activity.duration') render.animation(test,edge.label='activity.duration') #test a network with edge weights as distances test <- network.initialize(5,directed=F) test[1,2]<-1 test[3,2]<-1 test[1,3]<-1 test[1,4]<-1 test[5,1]<-1 test[4,5]<-1 test <-activate.edge.attribute(test,'weight',value=1,onset=0,terminus=1,e=c(1,2,3)) test <- activate.edge.attribute(test,'weight',value=3,onset=0,terminus=1,e=c(4,5,6)) test <- activate.edge.attribute(test,'weight',value=3,onset=1,terminus=2,e=c(1,2,3)) test <- activate.edge.attribute(test,'weight',value=1,onset=1,terminus=2,e=c(4,5,6)) slice.par<-list(start=-1,end=3,interval=1, aggregate.dur=1,rule="latest") test <-compute.animation(test,slice.par=slice.par,animation.mode="MDSJ",weight.attr='weight',weight.dist=TRUE) render.animation(test,edge.label='weight',render.par=list(tween.frames=10)) #test a network with edge weights as similarities slice.par<-list(start=-1,end=3,interval=1, aggregate.dur=1,rule="latest") test <-compute.animation(test,slice.par=slice.par,animation.mode="MDSJ",weight.attr='weight',weight.dist=FALSE) render.animation(test,edge.label='weight',render.par=list(tween.frames=10)) #test symetrizing an asymetric network test <- network.initialize(5,directed=T) test[1,2]<-1 test[3,2]<-1 test[1,3]<-1 test[1,4]<-1 test[5,1]<-1 test[4,5]<-1 test[2,1]<-1 test[2,3]<-1 test[3,1]<-1 test[4,1]<-1 test[1,5]<-1 test[5,4]<-1 test <-activate.edge.attribute(test,'weight',value=1,onset=0,terminus=1,e=c(1,2,3)) test <- activate.edge.attribute(test,'weight',value=3,onset=0,terminus=1,e=c(4,5,6)) test <- activate.edge.attribute(test,'weight',value=3,onset=1,terminus=2,e=c(1,2,3)) test <- activate.edge.attribute(test,'weight',value=1,onset=1,terminus=2,e=c(4,5,6)) test <- activate.edge.attribute(test,'weight',value=5, onset=0,terminus=4,e=7:12) slice.par<-list(start=-1,end=3,interval=1, aggregate.dur=1,rule="latest") test <-compute.animation(test,slice.par=slice.par,animation.mode="MDSJ",weight.attr='weight',weight.dist=FALSE) render.animation(test,edge.label='weight',render.par=list(tween.frames=20)) layout.distance(network.collapse(test,at=3),weight.attr='weight') data(McFarland_cls33_10_16_96) slice.par<-list(start=0,end=30,interval=1, aggregate.dur=2.5,rule="latest") cls33_10_16_96 <-compute.animation(cls33_10_16_96,slice.par=slice.par,animation.mode="MDSJ",weight.attr='activity.count',default.dist=5) #saveVideo(render.animation(cls33_10_16_96,edge.lwd='activity.count',edge.label='activity.count',edge.col='gray',render.cache='none'))