def add_new_users(self):
num_agents = random.choice([i for i in range(MAX_NUMBER_OF_NEW_USERS)])
# Create users
for i in range(num_agents):
user = UserAgent(
self.increment_curr_user_id(), define_user_interests(),
define_user_actions_probabilities(self.exp_normalized),
self.define_user_influence(), self)
self.schedule.add(user)
self.users.append(user)
user.add_random_friends(10)
user.expand_influence()
def __init__(self, num_agents):
super().__init__()
self.running = True
self.num_agents = num_agents
self.schedule = RandomActivation(self)
self.schedule_groups = RandomActivation(self)
self.schedule_roles = RandomActivation(self)
self.exp = np.random.exponential(1, num_agents * 2)
self.exp_normalized = [
float(value) / max(self.exp) for value in self.exp
]
self.influence_values = deepcopy(self.exp_normalized)
self.users = []
self.role_agents = []
self.groups = []
self.curr_user_id = 0
self.negotiations = {}
self.roles_count = defaultdict(list)
self.curr_iteration = 0
self.role_changes_from = {}
for role in roles:
self.roles_count[role] = []
# Create users
for i in range(num_agents):
user = UserAgent(
self.increment_curr_user_id(), define_user_interests(),
define_user_actions_probabilities(self.exp_normalized),
self.define_user_influence(), self)
self.schedule.add(user)
self.users.append(user)
for user in self.users:
user.add_random_friends(
round(
math.ceil(
random.choice(self.exp_normalized) * num_agents / 3)) +
1)
user.expand_influence()
self.data_collector = DataCollector(
agent_reporters={"Post_written": get_number_of_post_written})
self.data_group_collector = DataCollector(
model_reporters={
"biggestGroup": biggest_group,
"groupSizeDistribution": group_size_dist,
"number_of_groups": get_number_of_groups
})
