def draw_graph(label_flag=True, remove_isolated=True, different_size=True, iso_level=10, node_size=40):
G=build_graph(fb.get_friends_network())
betweenness=nx.betweenness_centrality(G)
degree=nx.degree_centrality(G)
degree_num=[ degree[v] for v in G]
maxdegree=max(degree_num);mindegree=min(degree_num);
print maxdegree,mindegree
clustering=nx.clustering(G)
print nx.transitivity(G)
# Judge whether remove the isolated point from graph
if remove_isolated is True:
H = nx.empty_graph()
for SG in nx.connected_component_subgraphs(G):
if SG.number_of_nodes() > iso_level:
H = nx.union(SG, H)
G = H
# Ajust graph for better presentation
if different_size is True:
L = nx.degree(G)
G.dot_size = {}
for k, v in L.items():
G.dot_size[k] = v
#node_size = [betweenness[v] *1000 for v in G]
node_size = [G.dot_size[v] * 10 for v in G]
node_color= [((degree[v]-mindegree))/(maxdegree-mindegree) for v in G]
#edge_width = [getcommonfriends(u,v) for u,v in G.edges()]
pos = nx.spring_layout(G, iterations=15)
nx.draw_networkx_edges(G, pos, alpha=0.05)
nx.draw_networkx_nodes(G, pos, node_size=node_size, node_color=node_color, vmin=0.0,vmax=1.0, alpha=0.3)
# Judge whether shows label
if label_flag is True:
nx.draw_networkx_labels(G, pos, font_size=6,alpha=0.1)
#nx.draw_graphviz(G)
plt.show()
return G
def cliques(remove_isolated=True,different_size=True,iso_level=10):
import community,random
G=build_graph(fb.get_friends_network())
# Judge whether remove the isolated point from graph
if remove_isolated is True:
H = nx.empty_graph()
for SG in nx.connected_component_subgraphs(G):
if SG.number_of_nodes() > iso_level:
H = nx.union(SG, H)
G = H
degree=nx.degree_centrality(G)
partition=community.best_partition(G)
size=len(set(partition.values()))
print "Partition found : size = ",size," partition = ",set(partition.values())
count=0.
# Ajust graph for better presentation
if different_size is True:
L = nx.degree(G)
G.dot_size = {}
for k, v in L.items():
G.dot_size[k] = v
#node_size = [betweenness[v] *1000 for v in G]
node_size = [G.dot_size[v] * 10 for v in G]
pos = nx.spring_layout(G)
for com in set(partition.values()) :
count=count+1
list_nodes = [nodes for nodes in partition.keys()
if partition[nodes] == com]
c=[float(count/size)]*len(list_nodes)
nx.draw_networkx_nodes(G, pos, list_nodes, node_size=node_size,node_color=c,vmin=0.0,vmax=1.0,alpha=0.3)
nx.draw_networkx_edges(G, pos, alpha=0.05)
nx.draw_networkx_labels(G, pos, font_size=6,alpha=0.1)
plt.show()
