code: Notes for Copenhagen data
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@ -16,6 +16,64 @@ import matplotlib.pyplot as plt
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import time
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import zipfile
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'''
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usr n
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109 6549
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112 3277
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113 4202
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139 8681
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14 9378
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145 4192
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147 4428
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157 11503
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164 8045
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17 4238
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176 19732
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178 7738
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186 3289
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190 13843
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216 6126
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236 3810
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244 10563
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262 17567
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264 9792
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274 11572
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275 4316
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287 13394
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299 7373
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304 6502
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317 3892
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324 11349
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344 14479
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374 5512
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383 18751
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389 3438
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396 7004
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453 3957
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474 7692
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480 4009
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504 2622
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505 11200
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561 4304
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570 2136
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576 6553
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58 12755
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593 3429
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595 4982
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619 6189
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633 5229
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657 10941
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658 1658
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663 11461
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688 19794
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691 6755
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705 5
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76 4875
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77 25
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79 8892
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81 8944
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88 17254
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'''
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# https://cloud.delkappa.com/s/ACMsDr2jnW3b6Np
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# Copenhagen data format
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@ -111,6 +169,12 @@ def main(args):
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break
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# Save to results
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lmdk_lib.save_data(args, np.array(usrs_expt, str), 'usrs_expt')
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# Get all users
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# usrs = np.unique(usrs_expt[:, 0])
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# for usr in usrs:
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# usr_cont = cont_data[(cont_data[:, uid_a] == float(usr)) | (cont_data[:, uid_b] == float(usr))]
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# print(int(usr), len(usr_cont))
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# exit()
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'''
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Get contacts for user 14
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9378 contacts
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@ -126,8 +190,6 @@ def main(args):
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usr_cont_cur = np.copy(usr_cont)
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# Remove goal landmarks from contacts
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for c in cont:
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# print(usr_cont)
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# exit()
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usr_cont_cur = usr_cont_cur[(usr_cont_cur[:, uid_a] != c) & (usr_cont_cur[:, uid_b] != c)]
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# Check
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print(g, (len(usr_cont) - len(usr_cont_cur))/len(usr_cont))
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