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https://github.com/gsi-upm/soil
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More translated variables
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@ -67,7 +67,7 @@ def init():
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tweet_probability_users = 0.44
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tweet_relevant_probability = 0.25
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tweet_probability_about = [0.15, 0.15, 0.15]
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sentiment_about = [0, 0, 0] #Valores por defecto
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sentiment_about = [0, 0, 0] #Default values
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##Enterprises
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tweet_probability_enterprises = [0.3, 0.3, 0.3]
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22
soil.py
22
soil.py
@ -51,18 +51,18 @@ for time in range(0, settings.max_time):
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real_time = time * settings.timeout
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activity= False
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for x in range(0, settings.number_of_nodes):
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if attribute_plot in models.networkStatus["agente_%s" % x]:
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if real_time in models.networkStatus["agente_%s" % x][attribute_plot]:
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if models.networkStatus["agente_%s" % x][attribute_plot][real_time] == 1: ##Representar infectados
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if attribute_plot in models.networkStatus["agent_%s" % x]:
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if real_time in models.networkStatus["agent_%s" % x][attribute_plot]:
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if models.networkStatus["agent_%s" % x][attribute_plot][real_time] == 1: ##Infected
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value_infectados += 1
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activity = True
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if models.networkStatus["agente_%s" % x][attribute_plot][real_time] == 0: ##Representar neutrales
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if models.networkStatus["agent_%s" % x][attribute_plot][real_time] == 0: ##Neutral
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value_neutral += 1
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activity = True
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if models.networkStatus["agente_%s" % x][attribute_plot][real_time] == 2: ##Representar cured
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if models.networkStatus["agent_%s" % x][attribute_plot][real_time] == 2: ##Cured
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value_cured += 1
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activity = True
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if models.networkStatus["agente_%s" % x][attribute_plot][real_time] == 3: ##Representar vaccinated
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if models.networkStatus["agent_%s" % x][attribute_plot][real_time] == 3: ##Vaccinated
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value_vaccinated += 1
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activity = True
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@ -89,14 +89,14 @@ plt.savefig('control_model.png')
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for x in range(0, settings.number_of_nodes):
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for empresa in models.networkStatus["agente_%s"%x]:
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for attribute in models.networkStatus["agent_%s"%x]:
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emotionStatusAux=[]
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for tiempo in models.networkStatus["agente_%s"%x][empresa]:
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for t_step in models.networkStatus["agent_%s"%x][attribute]:
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prec = 2
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output = math.floor(models.networkStatus["agente_%s"%x][empresa][tiempo] * (10 ** prec)) / (10 ** prec) #Para tener 2 decimales solo
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emotionStatusAux.append((output,tiempo,None))
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output = math.floor(models.networkStatus["agent_%s"%x][attribute][t_step] * (10 ** prec)) / (10 ** prec) #2 decimals
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emotionStatusAux.append((output,t_step,None))
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attributes = {}
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attributes[empresa] = emotionStatusAux
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attributes[attribute] = emotionStatusAux
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G.add_node(x, attributes)
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