def __init__(self,n):
self.average = 0.0
self.graph = nx.random_geometric_graph(n,0.15)
if not nx.is_connected(self.graph):
self.graph = nx.is_connected_component_subgraphs(self.graph)[0]
for i in range(0,len(self.graph.nodes())):
self.initializeNode(i)
self.average = self.average/len(self.graph.nodes())
def __init__(self,n):
self.realAvg = 0.0
self.graph = nx.erdos_renyi_graph(4, 0.8, seed=None, directed=False)
if not nx.is_connected(self.graph):
self.graph = nx.is_connected_component_subgraphs(self.graph)[0]
for i in range(0,len(self.graph.nodes())):
self.initializeNodes(i)
self.realAvg = self.realAvg/len(self.graph.nodes())
def __init__(self,sample):
self.average = 0.0
sample = "/Users/rafaelremondes/UM/MEI/Thesis/DistributedAggregationAlgortihmsSM/code/NetworkSamples/"+sample
#self.graph = self.loadSample(sample)
self.graph = nx.erdos_renyi_graph(1000, 0.2, seed=None, directed=False)
if not nx.is_connected(self.graph):
self.graph = nx.is_connected_component_subgraphs(self.graph)[0]
for i in range(0,len(self.graph.nodes())):
self.initializeNode(self.graph.nodes()[i])
self.realSum = self.average
self.average = self.average/len(self.graph.nodes())
print self.average
print self.realSum
def __init__(self,sample):
self.realAvg = 0.0
self. realSum = 0.0
#self.graph = nx.erdos_renyi_graph(4, 0.8, seed=None, directed=False)
sample = "/Users/rafaelremondes/UM/MEI/Thesis/DistributedAggregationAlgortihmsSM/code/NetworkSamples/"+sample
self.graph = utils.loadSample(sample)
if not nx.is_connected(self.graph):
self.graph = nx.is_connected_component_subgraphs(self.graph)[0]
for i in range(0,len(self.graph.nodes())):
self.initializeNodes(self.graph.nodes()[i])
#self.testingGraph()
#self.realAvg = 12
self.realAvg = self.realSum/len(self.graph.nodes())
def __init__(self, n):
self.graph = nx.random_geometric_graph(n, 0.8)
if not nx.is_connected(self.graph):
self.graph = nx.is_connected_component_subgraphs(self.graph)[0]
for i in range(0, len(self.graph.nodes())):
self.initNodes(i)
