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Discovering Accounts to Follow Using Graph Mining
We complete our function by returning the friends we collected:
return friends
The full function is given as follows:
import time
def get_friends(t, user_id):
friends = []
cursor = -1
while cursor != 0:
try:
results = t.friends.ids(user_id= user_id,
cursor=cursor, count=5000)
friends.extend([friend for friend in
results['ids']])
cursor = results['next_cursor']
if len(friends) >= 10000:
break
except TypeError as e:
if results is None:
print("You probably reached your API limit,
waiting for 5 minutes")
sys.stdout.flush()
time.sleep(5*60) # 5 minute wait
else:
raise e
except twitter.TwitterHTTPError as e:
break
finally:
time.sleep(60)
return friends
Building the network
Now we are going to build our network. Starting with our original users, we will get
the friends for each of them and store them in a dictionary (after obtaining the user's
ID from our user_id dictionary):
friends = {}
for screen_name in relevant_users:
user_id = user_ids[screen_name]
friends[user_id] = get_friends(t, user_id)
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