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Big market model init started

This commit is contained in:
JesusMSM 2015-12-10 19:18:12 +01:00
parent f1ccb61f26
commit f9a47bc9ef

46
soil.py
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@ -43,6 +43,52 @@ init_states = [{'id': 0, } for _ in range(settings.number_of_nodes)] # add keys
# Available models #
####################
class BigMarketModel(BaseNetworkAgent):
def __init__(self, environment=None, agent_id=0, state=()):
super().__init__(environment=environment, agent_id=agent_id, state=state)
self.time_awareness = 0
networkStatus[self.id][self.env.now]=0
if self.id == 0: #Empresa 1
self.state['id']=0
self.tweet_probability_1 = settings.tweet_probability_1
elif self.id == 1: #Empresa 2
self.state['id']=1
self.tweet_probability_2 = settings.tweet_probability_2
else: #Usuarios normales
self.state['id']=2
self.tweet_probability_users = settings.tweet_probability_users
self.tweet_probability_about = settings.tweet_probability_about
self.sentiment_about = settings.sentiment_about
def run(self):
while True:
aware_neighbors_1_time_step=[]
#Outside effects
if random.random() < settings.innovation_prob:
if self.state['id'] == 0:
self.state['id'] = 1
myList.append(self.id)
networkStatus[self.id][self.env.now]=1
self.time_awareness = self.env.now #Para saber cuando se han contagiado
yield self.env.timeout(settings.timeout)
else:
yield self.env.timeout(settings.timeout)
#Imitation effects
if self.state['id'] == 0:
aware_neighbors = self.get_neighboring_agents(state_id=1)
for x in aware_neighbors:
if x.time_awareness == (self.env.now-1):
aware_neighbors_1_time_step.append(x)
num_neighbors_aware = len(aware_neighbors_1_time_step)
if random.random() < (settings.imitation_prob*num_neighbors_aware):
myList.append(self.id)
self.state['id'] = 1
networkStatus[self.id][self.env.now]=1
yield self.env.timeout(settings.timeout)
else:
yield self.env.timeout(settings.timeout)
class SentimentCorrelationModel(BaseNetworkAgent):
def __init__(self, environment=None, agent_id=0, state=()):
super().__init__(environment=environment, agent_id=agent_id, state=state)