2017-04-21 11:55:42 +00:00
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# General configuration
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# Network settings
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network_type = 1
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number_of_nodes = 1000
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max_time = 50
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num_trials = 1
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timeout = 2
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# Zombie model
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bite_prob = 0.01 # 0-1
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heal_prob = 0.01 # 0-1
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# Bass model
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innovation_prob = 0.001
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imitation_prob = 0.005
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# Sentiment Correlation model
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outside_effects_prob = 0.2
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anger_prob = 0.06
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joy_prob = 0.05
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sadness_prob = 0.02
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disgust_prob = 0.02
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# Big Market model
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## Names
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enterprises = ["BBVA", "Santander", "Bankia"]
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## Users
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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] # Default values
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## Enterprises
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tweet_probability_enterprises = [0.3, 0.3, 0.3]
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# SISa
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neutral_discontent_spon_prob = 0.04
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neutral_discontent_infected_prob = 0.04
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neutral_content_spon_prob = 0.18
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neutral_content_infected_prob = 0.02
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discontent_neutral = 0.13
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discontent_content = 0.07
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variance_d_c = 0.02
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content_discontent = 0.009
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variance_c_d = 0.003
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content_neutral = 0.088
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standard_variance = 0.055
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# Spread Model M2 and Control Model M2
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prob_neutral_making_denier = 0.035
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prob_infect = 0.075
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prob_cured_healing_infected = 0.035
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prob_cured_vaccinate_neutral = 0.035
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prob_vaccinated_healing_infected = 0.035
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prob_vaccinated_vaccinate_neutral = 0.035
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prob_generate_anti_rumor = 0.035
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