def get_leaders_and_outermosts():
guys = Reader.read_lines("datasets/enron/enron_guys.txt")
guys = {int(nid) : email for nid, email in guys}
global_leaders, global_outermosts = defaultdict(list), defaultdict(list)
for month in xrange(1, 13):
n = Network('datasets/enron/timeslots/{:02d}-filtered2.edges'.format(month),
is_directed=False,
use_communities=True)
communities = set(flatten_list(n.communities.values()))
month_leaders, month_outermosts = set(), set()
for c in communities:
n.filter_community([c])
leaders, outermosts = RoleMining(n).find_roles()
[month_leaders.add(leader) for leader in leaders]
[month_outermosts.add(outer) for outer in outermosts]
n.unfilter_graph()
for l, c in month_leaders:
global_leaders[l].append((month,c))
for o, c in month_outermosts:
global_outermosts[o].append((month, c))
print
for id, months in global_outermosts.items():
if guys[id] in the_losers:
print guys[id], months
def get_mediator_score_distribution():
month = 12
n = XNetwork("datasets/enron/timeslots/{:02d}-filtered2.edges".format(month),
communities_file="datasets/enron/communities/{:02d}-filtered2/k=3/directed_communities".format(month))
nodes_with_cbc = n.calculate_CBC()
cbc_by_node = {nid: cbc for nid, cbc in nodes_with_cbc}
guys_tuples = Reader.read_lines("datasets/enron/enron_guys.txt")
guys = {int(nid): email for nid, email in guys_tuples}
guys_by_email = {email: int(nid) for nid, email in guys_tuples}
all_cdc = cbc_by_node.values()
P.hist(all_cdc)
P.title("Enron - Mediator score distribution in month {}".format(month))
P.xlabel("Mediator score")
P.ylabel("Frequency")
P.show()
interesting_emails = [
"*****@*****.**",
"*****@*****.**",
"*****@*****.**",
"*****@*****.**",
"*****@*****.**",
"*****@*****.**",
"*****@*****.**",
"*****@*****.**",
"*****@*****.**",
"*****@*****.**",
"*****@*****.**",
"*****@*****.**",
"*****@*****.**",
"*****@*****.**",
"*****@*****.**",
"*****@*****.**",
"*****@*****.**",
"*****@*****.**",
"*****@*****.**",
"*****@*****.**",
"*****@*****.**",
"*****@*****.**",
"*****@*****.**",
"*****@*****.**",
"*****@*****.**",
"*****@*****.**",
"*****@*****.**",
"*****@*****.**",
"*****@*****.**",
"*****@*****.**",
"*****@*****.**",
"*****@*****.**",
"*****@*****.**",
"*****@*****.**",
"*****@*****.**",
"*****@*****.**",
"*****@*****.**",
"*****@*****.**",
"*****@*****.**",
"*****@*****.**",
"*****@*****.**",
"*****@*****.**",
"*****@*****.**",
"*****@*****.**",
"*****@*****.**",
"*****@*****.**",
"*****@*****.**"
]
for email in interesting_emails:
try:
print "{}\t{:.4f}".format(email, cbc_by_node[guys_by_email[email]])
except KeyError:
print "{}\tX".format(email)
i = 0
print "month", month
print "-----------------------------------"
print "rank\tnode_id\temail\tMS"
print "-----------------------------------"
for n, cbc in nodes_with_cbc:
i += 1
if guys[n] not in interesting_emails:
print "{}\t{}\t{}\t{:.4f}".format(i, n, guys[n], cbc)
