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