def build_graph():
pair_list = WeiboUser.get_top_100_pair()
DG = nx.DiGraph()
DG.add_edges_from([(foer, twitter_user) for twitter_user, foer in
pair_list])
for twitter_id in DG.nodes():
t = WeiboUser.get_by_id(twitter_id)
node = DG.node[twitter_id]
node['weibo_id'] = t.user_id
node['label'] = t.scrn_name
node['scrn_name'] = t.scrn_name
node['name'] = t.name
node['follower_count'] = t.foer_cnt
node['friend_count'] = t.friend_cnt
node['status_count'] = t.status_cnt
node['description'] = t.desc
node['location'] = t.location
node['created_at'] = str(t.created_at)
node['verified'] = t.verified
node['twitter_age'] = (date.today() - t.created_at).days
node['daily_tweet'] = t.status_cnt*1.0/node['twitter_age']
node['follower_count_top100'] = len([(id, foer) for id, foer
in pair_list if id == twitter_id])
node['friend_count_top100'] = len([(id, foer) for id, foer
in pair_list if foer == twitter_id])
return DG
def login(us):
result = {}
for u in us:
user = WeiboUser()
user.wblogin(u['username'], u['passwd'])
result[u['username']] = user
return result
def relationship_top():
for id in TOP_100:
print 'analysis id', id
sleep(1)
for foer in TOP_100:
if id != foer and not WeiboUser.get_relation(id, foer)\
and not WeiboUser.get_non_relation(id, foer):
print 'analysis', id, 'and', foer, '...'
try:
e = a.exists_friendship(id,foer)
except:
continue
if e.friends:
print id, 'is followed by', foer, 'saving..'
WeiboUser.save_relationship(id, foer)
else:
print id, 'is not followed by', foer, 'saving..'
WeiboUser.save_non_relationship(id, foer)
sleep(1)
def fetch():
top_user = api.friends_ids().ids
for id in top_user[-2:]:
u = api.get_user(id)
WeiboUser.save_weibo_api(u)
def relationship():
for id in TOP_100:
not_foer = WeiboUser.get_top_not_pair(id)
for foer in list(set(TOP_100)-set(not_foer)):
WeiboUser.save_relationship(id, foer)
from weibo_api import get_api
from weibo_user import WeiboUser
from time import sleep
a = get_api()
TOP_100 = WeiboUser.get_top_100_by_foer()
def relationship():
for id in TOP_100:
not_foer = WeiboUser.get_top_not_pair(id)
for foer in list(set(TOP_100)-set(not_foer)):
WeiboUser.save_relationship(id, foer)
def relationship_top():
for id in TOP_100:
print 'analysis id', id
sleep(1)
for foer in TOP_100:
if id != foer and not WeiboUser.get_relation(id, foer)\
and not WeiboUser.get_non_relation(id, foer):
print 'analysis', id, 'and', foer, '...'
try:
e = a.exists_friendship(id,foer)
except:
continue
if e.friends:
print id, 'is followed by', foer, 'saving..'
WeiboUser.save_relationship(id, foer)
else:
print id, 'is not followed by', foer, 'saving..'