def _filled_user_score(self, user):
'''The score for a user for where user is the result of a TwitterUser object.'''
if self._community:
pop_stats = PopulationStats(self._community_members)
community_member_ids = pop_stats.all_user_ids()
#num of user's followers/friends in the community
friend_overlap = len(self._intersection(user['friend_ids'], \
community_member_ids))
try:
friend_percent_overlap = friend_overlap/user['friend_count']
except ZeroDivisionError:
friend_percent_overlap = 0
follower_overlap = len(self._intersection(user['follower_ids'], \
community_member_ids))
try:
follower_percent_overlap = follower_overlap/user['follower_count']
except ZeroDivisionError:
follower_percent_overlap = 0
reply_score = 0
user_stats = UserStats(user, self._community_members)
replies = user_stats.replies()
member_ids = [user['uid'] for user in self._community_members]
for replying_to in replies:
if replying_to in member_ids:
reply_score += 1
score = follower_percent_overlap + friend_percent_overlap
#+ reply_score
else:
score = 0
return score
def _filled_user_score(self, user):
'''The score for a user for where user is the result of a TwitterUser object.'''
if self._community:
pop_stats = PopulationStats(self._community_members)
community_member_ids = pop_stats.all_user_ids()
#num of user's followers/friends in the community
friend_overlap = len(self._intersection(user['friend_ids'], \
community_member_ids))
try:
friend_percent_overlap = friend_overlap / user['friend_count']
except ZeroDivisionError:
friend_percent_overlap = 0
follower_overlap = len(self._intersection(user['follower_ids'], \
community_member_ids))
try:
follower_percent_overlap = follower_overlap / user[
'follower_count']
except ZeroDivisionError:
follower_percent_overlap = 0
reply_score = 0
user_stats = UserStats(user, self._community_members)
replies = user_stats.replies()
member_ids = [user['uid'] for user in self._community_members]
for replying_to in replies:
if replying_to in member_ids:
reply_score += 1
score = follower_percent_overlap + friend_percent_overlap
#+ reply_score
else:
score = 0
return score
def main():
community = read_output('pickled_populations/lizardbill_11_20_2010')
s = PopulationStats(community['members'])
community_member_names = s.all_user_names()
for user in community['members']:
print ''
print 'User:'******'screen_name']
print 'ID:', user['uid']
print 'Tweet Count:', len(user['tweets'])
print 'Friend IDs:', len(user['friend_ids'])
print 'Follower IDs:', len(user['follower_ids'])
print 'Community Members:', len(community['members'])
def _empty_user_score(self, user_id):
'''The score for a user_id.'''
if self._community:
stats = PopulationStats(self._community_members)
community_friend_ids = stats.all_relation('friend_ids')
friended = community_friend_ids.count(user_id)
community_follow_ids = stats.all_relation('follower_ids')
followed = community_follow_ids.count(user_id)
score = friended + followed
else:
score = 0
return 0
def main():
community = read_output('pickled_populations/lizardbill_11_20_2010')
s = PopulationStats(community['members'])
community_member_names = s.all_user_names()
for user in community['members']:
print ''
print 'User:'******'screen_name']
print 'ID:', user['uid']
print 'Tweet Count:', len(user['tweets'])
print 'Friend IDs:', len(user['friend_ids'])
print 'Follower IDs:', len(user['follower_ids'])
print 'Community Members:', len(community['members'])
def _empty_user_score(self, user_id):
'''The score for a user_id.'''
if self._community:
stats = PopulationStats(self._community_members)
community_friend_ids = stats.all_relation('friend_ids')
friended = community_friend_ids.count(user_id)
community_follow_ids = stats.all_relation('follower_ids')
followed = community_follow_ids.count(user_id)
score = friended + followed
else:
score = 0
return 0
