mirror of
https://github.com/gsi-upm/soil
synced 2024-11-13 23:12:28 +00:00
53 lines
1.2 KiB
Python
53 lines
1.2 KiB
Python
# settings.py
|
|
def init():
|
|
global number_of_nodes
|
|
global max_time
|
|
global num_trials
|
|
global bite_prob
|
|
global network_type
|
|
global heal_prob
|
|
global innovation_prob
|
|
global imitation_prob
|
|
global timeout
|
|
global outside_effects_prob
|
|
global anger_prob
|
|
global joy_prob
|
|
global sadness_prob
|
|
global disgust_prob
|
|
global tweet_probability_users
|
|
global tweet_relevant_probability
|
|
global tweet_probability_about
|
|
global sentiment_about
|
|
global tweet_probability_enterprises
|
|
|
|
network_type=1
|
|
number_of_nodes=20
|
|
max_time=1000
|
|
num_trials=1
|
|
timeout=10
|
|
|
|
#Zombie model
|
|
bite_prob=0.01 # 0-1
|
|
heal_prob=0.01 # 0-1
|
|
|
|
#Bass model
|
|
innovation_prob=0.01
|
|
imitation_prob=0.01
|
|
|
|
#Sentiment Correlation model
|
|
outside_effects_prob = 0.2
|
|
anger_prob = 0.08
|
|
joy_prob = 0.05
|
|
sadness_prob = 0.02
|
|
disgust_prob = 0.02
|
|
|
|
#Big Market model
|
|
##Users
|
|
tweet_probability_users = 0.44
|
|
tweet_relevant_probability = 0.25
|
|
tweet_probability_about = [0.25, 0.25]
|
|
sentiment_about = [0, 0] #Valores por defecto
|
|
##Enterprises
|
|
tweet_probability_enterprises = [0.3, 0.3]
|
|
|