def simulateNetworksThreadedFAST(param_value):
folderPath = 'D:\\sensitivityAnalaysisVirtualSocFAST\\'
explorationProbability = param_value[0]
popularityPreferenceIntensity = param_value[1]
connectionPercentageWithMatchedNodes = param_value[2]
mutualPreferenceIntensity = [
param_value[3], param_value[4], param_value[5]
]
i = param_value[6]
os.mkdir(folderPath + '\\' + str(i))
graphTemp1 = RandomSocialGraphAdvanced(
labelSplit=[100, 200, 300],
connectionPercentageWithMatchedNodes=
connectionPercentageWithMatchedNodes,
explorationProbability=explorationProbability,
addTraidtionalFeatures=False,
additionalFeatureLen=3,
npDistFunc=[
'np.random.randint(18, high=80)', 'np.random.binomial(2, 0.5)'
],
popularityPreferenceIntensity=popularityPreferenceIntensity,
mutualPreferenceIntensity=mutualPreferenceIntensity)
# graphTemp1 = RandomSocialGraphAdvanced(labelSplit=[100, 200, 300],
# connectionPercentageWithMatchedNodes=param_value[2],
# explorationProbability=param_value[0],
# addTraidtionalFeatures=False, additionalFeatureLen=3,
# npDistFunc=['np.random.randint(18, high=80)',
# 'np.random.binomial(2, 0.5)'],
# popularityPreferenceIntensity=param_value[1],
# mutualPreferenceIntensity=[param_value[3],param_value[4],param_value[5]])
tp.WriteToFile(graphTemp1).easySaveEverything(folderPath + str(i) + '\\')
i += 1
def simulateNetworksEasy2(folderPath):
explorationProbabilityV = np.linspace(0.01, 0.1, 2)
popularityPreferenceIntensityV = np.linspace(0.5, 1.5, 2)
connectionPercentageWithMatchedNodesV = np.linspace(0.5, 2, 2)
mutualPreferenceIntensityV = []
len2 = np.random.uniform(low=0.7, high=1.0, size=2)
len3 = np.random.uniform(low=0.3, high=0.7, size=2)
len4 = np.random.uniform(low=0.0, high=0.3, size=2)
for i in range(0, 2):
mutualPreferenceIntensityV.append([len2[i], len3[i], len4[i]])
# popularityPreferenceIntensityV = np.arange(1,10,1)
# popularityPreferenceIntensityV = popularityPreferenceIntensityV.tolist()
for explorationProbability in explorationProbabilityV:
for connectionPercentageWithMatchedNodes in connectionPercentageWithMatchedNodesV:
for popularityPreferenceIntensity in popularityPreferenceIntensityV:
for mutualPreferenceIntensity in mutualPreferenceIntensityV:
os.mkdir(folderPath + '\\' + 'EP' +
str(explorationProbability) + 'CPN' +
str(connectionPercentageWithMatchedNodes) + 'PP' +
str(popularityPreferenceIntensity) + 'mpi' +
str(mutualPreferenceIntensity[0]) +
str(mutualPreferenceIntensity[1]) +
str(mutualPreferenceIntensity[2]))
graphTemp1 = RandomSocialGraphAdvanced(
labelSplit=[500, 1000, 1500],
connectionPercentageWithMatchedNodes=
connectionPercentageWithMatchedNodes,
explorationProbability=explorationProbability,
addTraidtionalFeatures=False,
additionalFeatureLen=3,
npDistFunc=[
'np.random.randint(18, high=80)',
'np.random.binomial(2, 0.5)'
],
popularityPreferenceIntensity=
popularityPreferenceIntensity,
mutualPreferenceIntensity=mutualPreferenceIntensity)
graphTemp1.mutateDNAandSocialise(mutationIntensity=0.3)
graphTemp1.socialise()
graphTemp1.mutateDNAandSocialise(mutationIntensity=0.7)
graphTemp1.socialise()
tp.WriteToFile(graphTemp1).easySaveEverything(
folderPath + '\\' + 'EP' +
str(explorationProbability) + 'CPN' +
str(connectionPercentageWithMatchedNodes) + 'PP' +
str(popularityPreferenceIntensity) + 'mpi' +
str(mutualPreferenceIntensity[0]) +
str(mutualPreferenceIntensity[1]) +
str(mutualPreferenceIntensity[2]) + '\\')
def simulateNetworksEasymutualPreferenceIntensityTest2(folderPath):
explorationProbabilityV = [0.5]
popularityPreferenceIntensityV = [1]
connectionPercentageWithMatchedNodesV = [10.00]
mutualPreferenceIntensityV = []
len2 = np.random.uniform(low=20, high=30, size=300)
len3 = np.random.uniform(low=10, high=20, size=300)
len4 = np.random.uniform(low=1, high=10, size=300)
for i in range(0, 300):
mutualPreferenceIntensityV.append([len2[i], len3[i], len4[i]])
# popularityPreferenceIntensityV = np.arange(1,10,1)
# popularityPreferenceIntensityV = popularityPreferenceIntensityV.tolist()
for explorationProbability in explorationProbabilityV:
for connectionPercentageWithMatchedNodes in connectionPercentageWithMatchedNodesV:
for popularityPreferenceIntensity in popularityPreferenceIntensityV:
for mutualPreferenceIntensity in mutualPreferenceIntensityV:
os.mkdir(folderPath + '\\' + 'EP' +
str("%6.5f" % explorationProbability) + 'CPN' +
str("%6.3f" %
connectionPercentageWithMatchedNodes) + 'PP' +
str("%6.3f" % popularityPreferenceIntensity) +
'mpi' +
str("%6.3f" % mutualPreferenceIntensity[0]) +
str("%6.3f" % mutualPreferenceIntensity[1]) +
str("%6.3f" % mutualPreferenceIntensity[2]))
graphTemp1 = RandomSocialGraphAdvanced(
labelSplit=[100, 200, 300],
connectionPercentageWithMatchedNodes=
connectionPercentageWithMatchedNodes,
explorationProbability=explorationProbability,
addTraidtionalFeatures=False,
additionalFeatureLen=3,
npDistFunc=[
'np.random.randint(18, high=80)',
'np.random.binomial(2, 0.5)'
],
popularityPreferenceIntensity=
popularityPreferenceIntensity,
mutualPreferenceIntensity=mutualPreferenceIntensity)
graphTemp1.socialise()
graphTemp1.socialise()
tp.WriteToFile(graphTemp1).easySaveEverything(
folderPath + '\\' + 'EP' +
str("%6.5f" % explorationProbability) + 'CPN' +
str("%6.3f" % connectionPercentageWithMatchedNodes) +
'PP' + str("%6.3f" % popularityPreferenceIntensity) +
'mpi' + str("%6.3f" % mutualPreferenceIntensity[0]) +
str("%6.3f" % mutualPreferenceIntensity[1]) +
str("%6.3f" % mutualPreferenceIntensity[2]) + '\\')
def simulateNetworksEasy(folderPath):
explorationProbabilityV = np.linspace(0.1, 0.5, 3)
connectionPercentageWithMatchedNodesV = np.arange(5, 30, 3)
# popularityPreferenceIntensityV = np.arange(1,10,1)
# popularityPreferenceIntensityV = popularityPreferenceIntensityV.tolist()
for explorationProbability in explorationProbabilityV:
for connectionPercentageWithMatchedNodes in connectionPercentageWithMatchedNodesV:
for popularityPreferenceIntensity in range(1, 5):
os.mkdir(folderPath + '\\' + 'EP' +
str(explorationProbability) + 'CPN' +
str(connectionPercentageWithMatchedNodes) + 'PPV' +
str(popularityPreferenceIntensity))
graphTemp1 = RandomSocialGraphAdvanced(
labelSplit=[500, 1000, 1500],
connectionPercentageWithMatchedNodes=
connectionPercentageWithMatchedNodes,
explorationProbability=explorationProbability,
addTraidtionalFeatures=True,
additionalFeatureLen=2,
npDistFunc=[
'np.random.randint(18, high=80)',
'np.random.binomial(2, 0.5)'
],
popularityPreferenceIntensity=popularityPreferenceIntensity,
mutualPreferenceIntensity=[3, 2, 1])
graphTemp1.mutateDNAandSocialise(mutationIntensity=0.3)
graphTemp1.mutateDNAandSocialise(mutationIntensity=0.5)
graphTemp1.mutateDNAandSocialise(mutationIntensity=0.7)
graphTemp1.socialise()
tp.WriteToFile(graphTemp1).easySaveEverything(
folderPath + '\\' + 'EP' + str(explorationProbability) +
'CPN' + str(connectionPercentageWithMatchedNodes) + 'PPV' +
str(popularityPreferenceIntensity) + '\\')