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getWordGraphStats.py
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getWordGraphStats.py
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import pickle
import networkx as nx
import numpy as np
import matplotlib.pyplot as plt
import xlsxwriter
import os
wordGraph = {}
name = None
def getWordGraph():
global wordGraph
wordGraph = pickle.load(open("wordGraph.pkl","rb"))
def getNumberOfNodes(graph,worksheet):
numberOfNodes = nx.number_of_nodes(graph)
worksheet.write(1,0,numberOfNodes)
print "numberOfNodes : " + str(numberOfNodes)
def getAvgDegree(graph,worksheet):
degrees = nx.degree(graph)
degreeList = list(degrees.values())
averageDegree = np.mean(degreeList)
worksheet.write(1,1,averageDegree)
print "averageDegree : " + str(averageDegree)
def getDegreeHist(graph,nodes,worksheet):
global name
degrees = {}
for node in nodes:
degrees[node] = nx.degree(graph,node)
directory = "wordGraphs/top50/"+name
directory = os.path.normpath(directory)
if not os.path.exists(directory):
os.makedirs(directory)
path = directory +"/DegreeHistogram.png"
fileName = os.path.normpath(path)
plt.hist(degrees.values(),log = True,bins = 20,facecolor='green', alpha=0.75)
plt.xlabel('Degree', fontsize = 15)
plt.ylabel('Frequency', fontsize = 15)
plt.title(r'$\mathrm{Degree\ Histogram\ for\ }'+name+'\ $',fontsize = 15)
plt.grid(True)
plt.axis([-100,500,0.1,10000])
plt.savefig(fileName, format="PNG")
plt.show()
worksheet.insert_image(4,1,fileName, {'x_scale': 0.5, 'y_scale': 0.5})
def getAvgClusteringCoeff(graph,worksheet):
avgClustering = nx.average_clustering(graph)
print "avgClustering : " + str(avgClustering)
worksheet.write(1,2,avgClustering)
def getClusteringCoeffHist(graph,nodes,worksheet):
global name
cc = {}
for node in nodes:
cc[node] = nx.clustering(graph,node)
cc[node] = round(cc[node],2)
directory = "wordGraphs/top50/"+name
directory = os.path.normpath(directory)
if not os.path.exists(directory):
os.makedirs(directory)
path = directory + "/ClusteringCoeffHistogram.png"
fileName = os.path.normpath(path)
plt.hist(cc.values(),bins = 10,log = True,facecolor='green', alpha=0.75)
plt.xlabel('Clustering Coefficient', fontsize = 15)
plt.ylabel('Frequency', fontsize = 15)
plt.title(r'$\mathrm{Clustering\ Coefficient\ Histogram\ for\ }' + name + ' \ $',fontsize = 15)
plt.savefig(fileName, format="PNG")
plt.grid(True)
plt.axis([-0.1,1.1,0.1,10000])
plt.show()
worksheet.insert_image(4,2,fileName, {'x_scale': 0.5, 'y_scale': 0.5})
def getAvgNumberOfTriangles(graph,worksheet):
triangles = nx.triangles(graph)
numberOfTriangles = list(triangles.values())
averageNumberOfTriangles = (np.mean(numberOfTriangles)/3)
worksheet.write(1,3,averageNumberOfTriangles)
print "numberOfTriangles : " + str(averageNumberOfTriangles)
def getTrianglesHist(graph,worksheet):
global name
triangles = {}
triangles = nx.triangles(graph)
directory = "wordGraphs/top50/"+name
directory = os.path.normpath(directory)
if not os.path.exists(directory):
os.makedirs(directory)
path = directory +"/trianglesHistogram.png"
fileName = os.path.normpath(path)
plt.hist(triangles.values(),bins = 20,log = True,facecolor='green', alpha=0.75)
plt.xlabel('Number Of Triangles', fontsize = 15)
plt.ylabel('Frequency', fontsize = 15)
plt.title(r'$\mathrm{Triangles\ Histogram\ for\ }' + name +'\ $',fontsize = 15)
plt.savefig(fileName, format="PNG")
plt.grid(True)
plt.axis([-200,2500,0.1,10000])
plt.show()
worksheet.insert_image(4,3,fileName, {'x_scale': 0.5, 'y_scale': 0.5})
def getLargestCC(graph,worksheet):
largestCC = max(nx.connected_components(graph))
print "largestCC : "+ str(len(largestCC))
worksheet.write(1,4,len(largestCC))
def getKCore(graph,worksheet):
global name
kCore = nx.k_core(graph)
print 'KCore : '
directory = "wordGraphs/top50/"+name
directory = os.path.normpath(directory)
if not os.path.exists(directory):
os.makedirs(directory)
path = directory +"/KCore.png"
fileName = os.path.normpath(path)
nx.draw(kCore,node_size=100)
plt.title(r'$\mathrm{K-Core\ for\ }' + name +'\ $',fontsize = 15)
plt.savefig(fileName, format="PNG")
plt.show()
worksheet.insert_image(4,5,fileName, {'x_scale': 0.5, 'y_scale': 0.5})
def getGraph(graph,worksheet):
global name
print 'Graph : '
nx.draw(graph,pos=nx.spring_layout(graph),node_size=100)
directory = "wordGraphs/top50/"+name
directory = os.path.normpath(directory)
if not os.path.exists(directory):
os.makedirs(directory)
path = directory +"/Graph.png"
fileName = os.path.normpath(path)
plt.title(r'$\mathrm{Graph\ for\ }'+name+'\ $',fontsize = 15)
plt.savefig(fileName, format="PNG")
plt.show()
worksheet.insert_image(4,6,fileName, {'x_scale': 0.5, 'y_scale': 0.5})
def main():
global name
getWordGraph()
filename = file("Word Graph_top50.xlsx","wb")
workbook = xlsxwriter.Workbook(filename)
bold = workbook.add_format({'bold': True})
for value in wordGraph:
if value == "...":
print "hello world3"
name = "dotDotDot"
elif value == "..":
name = 'dotDot'
else:
name = value
print name
worksheet = workbook.add_worksheet(name)
worksheet.set_column(1, 6, 50)
worksheet.write(0,0,"Number of Nodes",bold)
worksheet.write(0,1,"Average Degree",bold)
worksheet.write(0,2,"Average Clustering Coefficient",bold)
worksheet.write(0,3,"Average number of triangles",bold)
worksheet.write(0,4,"Largest Connected Component",bold)
worksheet.write(0,5,"KCore",bold)
worksheet.write(0,6,"Graph",bold)
graph = wordGraph[value]
undirectedGraph = graph.to_undirected()
nodes = nx.nodes(graph)
getNumberOfNodes(graph,worksheet)
getAvgDegree(graph,worksheet)
getDegreeHist(graph,nodes,worksheet)
getAvgClusteringCoeff(undirectedGraph,worksheet)
getClusteringCoeffHist(undirectedGraph,nodes,worksheet)
getAvgNumberOfTriangles(undirectedGraph,worksheet)
getTrianglesHist(undirectedGraph,worksheet)
getLargestCC(undirectedGraph,worksheet)
getKCore(undirectedGraph,worksheet)
getGraph(graph,worksheet)
workbook.close()
if __name__ == "__main__":
main()# -*- coding: utf-8 -*-