def make_social_graph():
print 'Constructing social graph...'
links = get_links()
social_graph = Graph()
for link in links:
social_graph.add_edge(link[1], link[2])
social_graph.store_link(link[0], link[1], link[2])
return social_graph
def weighted_social_graph(weights):
print 'Constructing weighted social graph...'
links = get_links()
social_graph = Graph()
for link in links:
social_graph.store_link(link[0], link[1], link[2])
links = social_graph.links
email_count = 1
with open('subject.txt') as subject_file:
for email in subject_file:
if email_count % 10000 == 0:
print 'processing email ' + str(email_count)
email_id = email.split()[0]
subject_line = email[len(email_id) + 2:]
subject_line = remove_punc(subject_line)
try:
link = links[email_id]
except KeyError:
continue
words = subject_line.split()
words = remove_stopwords(words)
# Compute e-mail weight
email_weight = 0
word_count = float(len(words))
for word in words:
try:
email_weight += weights[word]
except KeyError:
word_count -= 1
continue
try:
email_weight /= word_count
except ZeroDivisionError:
email_weight = 0
social_graph.add_weighted_edge(link[0],link[1], email_weight)
email_count += 1
return social_graph
