def __init__(self, changeEdges=10, numGraphs=100, numClusterVertices=50, numClusters=3, p=0.3):
self.changeEdges = changeEdges
self.numGraphs = numGraphs
self.graphInd = 0
self.numClusters = numClusters
self.realClustering = numpy.zeros(numClusterVertices*numClusters)
generator = ErdosRenyiGenerator(p)
clusterList = []
for i in range(numClusters):
cluster = SparseGraph(GeneralVertexList(numClusterVertices))
cluster = generator.generate2(cluster)
clusterList.append(cluster)
self.realClustering[numClusterVertices*i:(i+1)*numClusterVertices] = i
self.graph = clusterList[0]
for i in range(1, len(clusterList)):
self.graph = self.graph.concat(clusterList[i])
def print_Eros(vertex, p):
graph = SparseGraph(VertexList(vertex, 0))
#graph = AbstractMatrixGraph()
generator = ErdosRenyiGenerator(p)
graphER = generator.generate2(graph)
result = graphER.adjacencyList()
print graphER
newdic = {}
cnt = 0
for i in result[0]:
#print "I value = ", i
newdic[cnt] = set(i)
cnt+=1
newgra = dergee(newdic)
#print "NEWGRA = ", newgra
#plt.subplot(212)
#plt.loglog(newgra[0], newgra[1], 'ro', markersize=3, basex=2)
return newdic
