def validate_selfsim():
ssfile = 'data/mesos0825_s0dot2/mesos0825_s0dot2_ssmode'
movdata = 'data/hcl_mesos0825_sample0.2'
bsmap = 'data/hcl_mesos0825_bm'
ofname = 'data/mesos0825_s0dot2/mesos0825_s0dot2_ssmode_mg'
users = {}
i = 0
for line in open(ssfile, 'rb'):
if i == 0:
i = 1
continue
parts = line.strip('\r\n').split(',')
uid = int(parts[0])
group = int(parts[1])
clust = int(parts[2])
dist = float(parts[3])
selfdist = float(parts[4])
mode = str(parts[5])
users[uid] = (group, clust, dist, selfdist, mode)
print len(users)
ofile = open(ofname, 'wb')
for person in movement_reader(open(movdata), BaseStationMap(bsmap)):
if person.id not in users or person.distinct_loc_num() < 2:
continue
user = users[person.id]
ofile.write('%d\t%d\t%d\t%.3f\t%.3f\t%s\t%s\n' %
(person.id, user[0], user[1], user[2], user[3], user[4],
dumps_mobgraph(person.convert2graph())))
ofile.close()
def validate_selfsim():
ssfile = 'data/mesos0825_s0dot2/mesos0825_s0dot2_ssmode'
movdata = 'data/hcl_mesos0825_sample0.2'
bsmap = 'data/hcl_mesos0825_bm'
ofname = 'data/mesos0825_s0dot2/mesos0825_s0dot2_ssmode_mg'
users = {}
i = 0
for line in open(ssfile, 'rb'):
if i == 0:
i = 1
continue
parts = line.strip('\r\n').split(',')
uid = int(parts[0])
group = int(parts[1])
clust = int(parts[2])
dist = float(parts[3])
selfdist = float(parts[4])
mode = str(parts[5])
users[uid] = (group, clust, dist, selfdist, mode)
print len(users)
ofile = open(ofname, 'wb')
for person in movement_reader(open(movdata), BaseStationMap(bsmap)):
if person.id not in users or person.distinct_loc_num() < 2:
continue
user = users[person.id]
ofile.write('%d\t%d\t%d\t%.3f\t%.3f\t%s\t%s\n' % (
person.id, user[0], user[1], user[2], user[3], user[4],
dumps_mobgraph(person.convert2graph())))
ofile.close()
def top_compare():
""" Compare top motif and mesostructure
"""
datapath = "data/mesos0825_s0dot2"
movdata = "data/hcl_mesos0825_sample0.2"
bsmap = "data/hcl_mesos0825_bm"
ofname = os.path.join(datapath, "mesos0825_s0dot2_top")
mobgraphs = {}
for person in movement_reader(open(movdata), BaseStationMap(bsmap)):
if person.which_day() != "0825":
continue
nn = len(set(person.locations))
if nn > 20:
continue
if nn not in mobgraphs:
mobgraphs[nn] = {}
mobgraphs[nn][person.id] = person.convert2graph()
new_file = True
for C in range(2, 16):
for kn in range(1, 5):
print C, kn
# Read dist matrix for (group, cluster) users
fileklab = os.path.join(datapath, "mesos0825_s0dot2_c%d_kn%d" % (C, kn))
distmat = []
i = 0
for line in open(fileklab):
if i == 0:
uids = [int(i) for i in line.strip("\r\n").split(",")]
i == 1
continue
distmat.append([float(i) for i in line.strip("\r\n").split(",")])
distmat = np.array(distmat)
distvec = distmat.sum(1) / len(uids)
uids_sorted = [x for (y, x) in sorted(zip(distvec, uids))]
N = len(uids_sorted)
print ("Total users %d: " % N)
mgs = mobgraphs[C]
mesos = Mesos(mgs[uids_sorted[0]], mgs[uids_sorted[1]])
topmesos = mesos.mesos
topmesos_sim = 1 - mesos.struct_dist()
motifs = {}
for i in range(N - 1):
u1 = uids_sorted[i]
u2 = uids_sorted[i + 1]
g1 = mgs[u1]
g2 = mgs[u2]
mesos = Mesos(g1, g2).mesos
found = False
for key in motifs.keys():
if isomorphism.is_isomorphic(key, mesos):
motifs[key].append((mesos, i))
found = True
if found:
break
if not found:
motifs[mesos] = [(mesos, i)]
res = []
for key, value in motifs.items():
res.append((len(value), value[0][0]))
res = sorted(res, key=lambda x: x[0], reverse=True)
topmotif = res[0][1]
topmotif_supp = 1.0 * res[0][0] / N
if new_file:
mode = "wb"
new_file = False
else:
mode = "ab"
ofile = open(ofname, mode)
ofile.write("%d\t%d" % (C, kn))
ofile.write("\t%.3f\t%.3f" % (topmesos_sim, topmotif_supp))
ofile.write("\t%s" % dumps_mobgraph(topmesos))
ofile.write("\t%s" % dumps_mobgraph(topmotif))
ofile.write("\n")
ofile.close()
def dumps_mesos(G):
return dumps_mobgraph(G)
def top_compare():
""" Compare top motif and mesostructure
"""
datapath = 'data/mesos0825_s0dot2'
movdata = 'data/hcl_mesos0825_sample0.2'
bsmap = 'data/hcl_mesos0825_bm'
ofname = os.path.join(datapath, 'mesos0825_s0dot2_top')
mobgraphs = {}
for person in movement_reader(open(movdata), BaseStationMap(bsmap)):
if person.which_day() != '0825':
continue
nn = len(set(person.locations))
if nn > 20:
continue
if nn not in mobgraphs:
mobgraphs[nn] = {}
mobgraphs[nn][person.id] = person.convert2graph()
new_file = True
for C in range(2, 16):
for kn in range(1, 5):
print C, kn
# Read dist matrix for (group, cluster) users
fileklab = os.path.join(datapath,
'mesos0825_s0dot2_c%d_kn%d' % (C, kn))
distmat = []
i = 0
for line in open(fileklab):
if i == 0:
uids = [int(i) for i in line.strip('\r\n').split(',')]
i == 1
continue
distmat.append(
[float(i) for i in line.strip('\r\n').split(',')])
distmat = np.array(distmat)
distvec = distmat.sum(1) / len(uids)
uids_sorted = [x for (y, x) in sorted(zip(distvec, uids))]
N = len(uids_sorted)
print('Total users %d: ' % N)
mgs = mobgraphs[C]
mesos = Mesos(mgs[uids_sorted[0]], mgs[uids_sorted[1]])
topmesos = mesos.mesos
topmesos_sim = 1 - mesos.struct_dist()
motifs = {}
for i in range(N - 1):
u1 = uids_sorted[i]
u2 = uids_sorted[i + 1]
g1 = mgs[u1]
g2 = mgs[u2]
mesos = Mesos(g1, g2).mesos
found = False
for key in motifs.keys():
if isomorphism.is_isomorphic(key, mesos):
motifs[key].append((mesos, i))
found = True
if found:
break
if not found:
motifs[mesos] = [(mesos, i)]
res = []
for key, value in motifs.items():
res.append((len(value), value[0][0]))
res = sorted(res, key=lambda x: x[0], reverse=True)
topmotif = res[0][1]
topmotif_supp = 1.0 * res[0][0] / N
if new_file:
mode = 'wb'
new_file = False
else:
mode = 'ab'
ofile = open(ofname, mode)
ofile.write('%d\t%d' % (C, kn))
ofile.write('\t%.3f\t%.3f' % (topmesos_sim, topmotif_supp))
ofile.write('\t%s' % dumps_mobgraph(topmesos))
ofile.write('\t%s' % dumps_mobgraph(topmotif))
ofile.write('\n')
ofile.close()
def dumps_mesos(G):
return dumps_mobgraph(G)
