def party_burstiness(features, weeks, party, dic_tweets):
bt = Burst()
b_index = dict()
for f in features:
qtd_r = list()
qtd_d = list()
for w in range(1, weeks + 1):
party_week = party + "_" + str(w)
if party_week in dic_tweets:
qtd_r.append(dic_tweets[party_week][f])
qtd_d.append(sum(dic_tweets[party_week].values()))
else:
qtd_r.append(0)
qtd_d.append(0)
r = np.array(qtd_r)
d = np.array(qtd_d)
n = len(r)
q, d, r, p = bt.burst_detection(r, d, n, 2, 1, 2)
bursts = bt.enumerate_bursts(q, 'burstLabel')
b_index[f] = bursts
return b_index