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data/facebook_combined.txt
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88234
data/facebook_combined.txt
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@ -3,7 +3,7 @@ import pandas as pd
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import matplotlib.pyplot as plt
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import matplotlib.pyplot as plt
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if __name__ == '__main__':
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if __name__ == '__main__':
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data = pd.read_csv('./data/web-Stanford.txt', sep="\t", header=None, skiprows=4)
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data = pd.read_csv('./data/testmini.txt', sep=" ", header=None, skiprows=4)
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G = nx.DiGraph()
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G = nx.DiGraph()
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for i in range(len(data)):
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for i in range(len(data)):
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G.add_node(data.iloc[i][0])
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G.add_node(data.iloc[i][0])
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@ -2,12 +2,11 @@ import networkx as nx
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import pandas as pd
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import pandas as pd
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if __name__ == '__main__':
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if __name__ == '__main__':
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data = pd.read_csv('./data/web-Stanford.txt', sep="\t", header=None, skiprows=4)
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data = pd.read_csv('./data/testmini.txt', sep=" ", header=None, skiprows=4)
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G = nx.DiGraph()
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G = nx.DiGraph()
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for i in range(len(data)):
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for i in range(len(data)):
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G.add_node(data.iloc[i][0])
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G.add_node(data.iloc[i][0])
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G.add_node(data.iloc[i][1])
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G.add_node(data.iloc[i][1])
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G.add_edge(data.iloc[i][0], data.iloc[i][1])
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G.add_edge(data.iloc[i][0], data.iloc[i][1])
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pr = nx.pagerank(G, alpha=0.9)
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pr = nx.pagerank(G, alpha=0.9)
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print(pr)
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print(pr)
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