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
