-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy paththesis.bbl
843 lines (696 loc) · 31.5 KB
/
thesis.bbl
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
\begin{thebibliography}{100}
\bibitem{kwapien2012}
J.~Kwapie{\'n} and S.~Dro{\.z}d{\.z}.
\newblock {Physical approach to complex systems}.
\newblock {\em Phys. Rep}, 515:115--226, 2012.
\bibitem{thurner2018}
Stefan Thurner, Rudolf Hanel, and Peter Klimekl.
\newblock {93Scaling}.
\newblock In {\em {Introduction to the Theory of Complex Systems}}. Oxford
University Press, 09 2018.
\bibitem{myers2014}
S.~A. Myers and J.~Leskovec.
\newblock {The bursty dynamics of the twitter information network}.
\newblock In {\em Proceedings of the 23rd international conference on World
wide web}, pages 913--924, 2014.
\bibitem{sarigol2014}
E.~Sarig{\"o}l, R.~Pfitzner, I.~Scholtes, A.~Garas, and F.~Schweitzer.
\newblock {Predicting scientific success based on coauthorship networks}.
\newblock {\em EPJ Data Science}, 3:9, 2014.
\bibitem{fraiman2009ising}
D.~Fraiman, P.~Balenzuela, J.~Foss, and D.~R. Chialvo.
\newblock {Ising-like dynamics in large-scale functional brain networks}.
\newblock {\em Phys. Rev. E}, 79:061922, 2009.
\bibitem{schneider2011modeling}
C.~M. Schneider, L.~de~Arcangelis, and H.~J. Herrmann.
\newblock {Modeling the topology of protein interaction networks}.
\newblock {\em Phys. Rev. E}, 84:016112, 2011.
\bibitem{costa2007characterization}
L~da~F Costa, Francisco~A Rodrigues, Gonzalo Travieso, and Paulino~Ribeiro
Villas~Boas.
\newblock Characterization of complex networks: A survey of measurements.
\newblock {\em Advances in physics}, 56(1):167--242, 2007.
\bibitem{costa2011analyzing}
Luciano da~Fontoura Costa, Osvaldo~N Oliveira~Jr, Gonzalo Travieso,
Francisco~Aparecido Rodrigues, Paulino~Ribeiro Villas~Boas, Lucas Antiqueira,
Matheus~Palhares Viana, and Luis~Enrique Correa~Rocha.
\newblock Analyzing and modeling real-world phenomena with complex networks: a
survey of applications.
\newblock {\em Advances in Physics}, 60(3):329--412, 2011.
\bibitem{newman2003structure}
M.~E.~J. Newman.
\newblock {The structure and function of complex networks}.
\newblock {\em SIAM review}, 45:167--256, 2003.
\bibitem{ladyman2013}
James Ladyman, James Lambert, and Karoline Wiesner.
\newblock What is a complex system?
\newblock {\em European Journal for Philosophy of Science}, 3(1):33--67, 2013.
\bibitem{latora2017complex}
V.~Latora, V.~Nicosia, and G.~Russo.
\newblock Complex networks: Principles, methods and applications.
\newblock 2017.
\bibitem{boccaletti2006complex}
Stefano Boccaletti, Vito Latora, Yamir Moreno, Martin Chavez, and D-U Hwang.
\newblock Complex networks: Structure and dynamics.
\newblock {\em Physics reports}, 424(4-5):175--308, 2006.
\bibitem{sen2014sociophysics}
Parongama Sen and Bikas~K Chakrabarti.
\newblock {\em Sociophysics: an introduction}.
\newblock Oxford University Press, 2014.
\bibitem{schweitzer2018sociophysics}
Frank Schweitzer.
\newblock Sociophysics.
\newblock {\em Phys. Today}, 71(2):40, 2018.
\bibitem{binney1992}
J.~J. Binney, N.~J. Dowrick, A.~J. Fisher, and M.~E.~J. Newman.
\newblock {\em {The theory of critical phenomena: an introduction to the
renormalization group}}.
\newblock Oxford University Press, 1992.
\bibitem{sethna2021statistical}
James~P Sethna.
\newblock {\em Statistical mechanics: entropy, order parameters, and
complexity}, volume~14.
\newblock Oxford University Press, USA, 2021.
\bibitem{kadanoff1990scaling}
Leo~P Kadanoff.
\newblock Scaling and universality in statistical physics.
\newblock {\em Physica A: Statistical Mechanics and its Applications},
163(1):1--14, 1990.
\bibitem{garas2012emotional}
Antonios Garas, David Garcia, Marcin Skowron, and Frank Schweitzer.
\newblock Emotional persistence in online chatting communities.
\newblock {\em Scientific Reports}, 2(1):1--8, 2012.
\bibitem{fortunato2007scaling}
Santo Fortunato and Claudio Castellano.
\newblock Scaling and universality in proportional elections.
\newblock {\em Physical review letters}, 99(13):138701, 2007.
\bibitem{chatterjee2013}
Arnab Chatterjee, Marija Mitrovi{\'c}, and Santo Fortunato.
\newblock Universality in voting behavior: an empirical analysis.
\newblock {\em Scientific reports}, 3(1):1--9, 2013.
\bibitem{radicchi2008}
Filippo Radicchi, Santo Fortunato, and Claudio Castellano.
\newblock Universality of citation distributions: Toward an objective measure
of scientific impact.
\newblock {\em Proceedings of the National Academy of Sciences},
105(45):17268--17272, 2008.
\bibitem{barthelemy2019}
M.~Barthelemy.
\newblock {The statistical physics of cities}.
\newblock {\em Nat. Rev. Phys}, 1:406--415, 2019.
\bibitem{fazio2015pareto}
Giorgio Fazio and Marco Modica.
\newblock Pareto or log-normal? best fit and truncation in the distribution of
all cities.
\newblock {\em Journal of Regional Science}, 55(5):736--756, 2015.
\bibitem{amaral1997scaling}
Lu{\'\i}s A~Nunes Amaral, Sergey~V Buldyrev, Shlomo Havlin, Heiko Leschhorn,
Philipp Maass, Michael~A Salinger, H~Eugene Stanley, and Michael~HR Stanley.
\newblock Scaling behavior in economics: I. empirical results for company
growth.
\newblock {\em Journal de Physique I}, 7(4):621--633, 1997.
\bibitem{stanley1996scaling}
Michael~HR Stanley, Luis~AN Amaral, Sergey~V Buldyrev, Shlomo Havlin, Heiko
Leschhorn, Philipp Maass, Michael~A Salinger, and H~Eugene Stanley.
\newblock Scaling behaviour in the growth of companies.
\newblock {\em Nature}, 379(6568):804--806, 1996.
\bibitem{verbavatz2020}
V.~Verbavatz and M.~Barthelemy.
\newblock {The growth equation of cities}.
\newblock {\em Nature}, 587:397--401, 2020.
\bibitem{huberman1999}
Bernardo~A Huberman and Lada~A Adamic.
\newblock Growth dynamics of the world-wide web.
\newblock {\em Nature}, 401(6749):131--131, 1999.
\bibitem{dorogovtsev2010complex}
S.~Dorogovtsev.
\newblock {\em {Complex networks}}.
\newblock Oxford: Oxford University Press, 2010.
\bibitem{barabasi2009}
Albert-L{\'a}szl{\'o} Barab{\'a}si.
\newblock Scale-free networks: a decade and beyond.
\newblock {\em science}, 325(5939):412--413, 2009.
\bibitem{newman2010}
M.~E.~J. Newman.
\newblock {\em Networks: An Introduction}.
\newblock Oxford University Press, 2010.
\bibitem{watts1998collective}
D.~J. Watts and S.~H. Strogatz.
\newblock {Collective dynamics of ‘small-world’networks}.
\newblock {\em Nature}, 393:440--442, 1998.
\bibitem{barabasi1999}
A.-L. Barab{\'a}si and R.~Albert.
\newblock {Emergence of scaling in random networks}.
\newblock {\em Science}, 286:509--512, 1999.
\bibitem{dorogovtsev2000b}
S.~N. Dorogovtsev and J.~F.~F. Mendes.
\newblock {Evolution of networks with aging of sites}.
\newblock {\em Phy. Rev. E}, 62:1842, 2000.
\bibitem{dorogovtsev2001b}
Sergey~N Dorogovtsev and Jos{\'e}~FF Mendes.
\newblock Scaling properties of scale-free evolving networks: Continuous
approach.
\newblock {\em Physical Review E}, 63(5):056125, 2001.
\bibitem{liu2019}
Jin Liu, Jian Li, Yadang Chen, Xianyi Chen, Zhili Zhou, Zejun Yang, and
Cheng-Jun Zhang.
\newblock Modeling complex networks with accelerating growth and aging effect.
\newblock {\em Physics Letters A}, 383(13):1396--1400, 2019.
\bibitem{pham2016}
T.~Pham, P.~Sheridan, and H.~Shimodaira.
\newblock {Joint estimation of preferential attachment and node fitness in
growing complex networks}.
\newblock {\em Sci. Rep}, 6:32558, 2016.
\bibitem{sen2004}
Parongama Sen.
\newblock Accelerated growth in outgoing links in evolving networks:
Deterministic versus stochastic picture.
\newblock {\em Physical Review E}, 69(4):046107, 2004.
\bibitem{mitrovic2010a}
M.~Mitrovi{\'{c}} and B.~Tadi{\'{c}}.
\newblock Bloggers behavior and emergent communities in blog space.
\newblock {\em The European Physical Journal B 2009 73:2}, 73(2):293--301,
2009.
\bibitem{mitrovic2012}
Marija Mitrovi{\'{c}} and Bosiljka Tadi{\'{c}}.
\newblock Emergence and structure of cybercommunities.
\newblock In {\em Springer Optimization and Its Applications}, volume~57, pages
209--227. Springer International Publishing, 2012.
\bibitem{mitrovic2015}
Marija~Mitrovi{\'c} Dankulov, Roderick Melnik, and Bosiljka Tadi{\'c}.
\newblock The dynamics of meaningful social interactions and the emergence of
collective knowledge.
\newblock {\em Scientific reports}, 5(1):1--10, 2015.
\bibitem{cohen2000resilience}
Reuven Cohen, Keren Erez, Daniel ben Avraham, and Shlomo Havlin.
\newblock Resilience of the internet to random breakdowns.
\newblock {\em Phys. Rev. Lett.}, 85:4626--4628, Nov 2000.
\bibitem{tadic2001}
Bosiljka Tadi{\'{c}}.
\newblock Dynamics of directed graphs: The world-wide web.
\newblock {\em Physica A: Statistical Mechanics and its Applications},
293(1-2):273--284, 2001.
\bibitem{mitrovic2009}
Marija Mitrovi{\'{c}} and Bosiljka Tadi{\'{c}}.
\newblock Spectral and dynamical properties in classes of sparse networks with
mesoscopic inhomogeneities.
\newblock {\em Physical Review E - Statistical, Nonlinear, and Soft Matter
Physics}, 80(2):026123, 2009.
\bibitem{ghoshal2013uncovering}
Gourab Ghoshal, Liping Chi, and Albert-L{\'a}szl{\'o} Barab{\'a}si.
\newblock Uncovering the role of elementary processes in network evolution.
\newblock {\em Scientific reports}, 3(1):1--8, 2013.
\bibitem{velickovic2017graph}
Petar Velickovic, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro
Lio, Yoshua Bengio, et~al.
\newblock Graph attention networks.
\newblock {\em stat}, 1050(20):10--48550, 2017.
\bibitem{xu2018powerful}
Keyulu Xu, Weihua Hu, Jure Leskovec, and Stefanie Jegelka.
\newblock How powerful are graph neural networks?
\newblock {\em arXiv preprint arXiv:1810.00826}, 2018.
\bibitem{zhou2020graph}
Jie Zhou, Ganqu Cui, Shengding Hu, Zhengyan Zhang, Cheng Yang, Zhiyuan Liu,
Lifeng Wang, Changcheng Li, and Maosong Sun.
\newblock Graph neural networks: A review of methods and applications.
\newblock {\em AI open}, 1:57--81, 2020.
\bibitem{eksombatchai2018pixie}
Chantat Eksombatchai, Pranav Jindal, Jerry~Zitao Liu, Yuchen Liu, Rahul Sharma,
Charles Sugnet, Mark Ulrich, and Jure Leskovec.
\newblock Pixie: A system for recommending 3+ billion items to 200+ million
users in real-time.
\newblock In {\em Proceedings of the 2018 world wide web conference}, pages
1775--1784, 2018.
\bibitem{monti1902fake}
Federico Monti, Fabrizio Frasca, Davide Eynard, Damon Mannion, and Michael~M
Bronstein.
\newblock Fake news detection on social media using geometric deep learning.
2019.
\newblock {\em arXiv preprint arXiv:1902.06673}, 1902.
\bibitem{zhou2019optimization}
Zhenpeng Zhou, Steven Kearnes, Li~Li, Richard~N Zare, and Patrick Riley.
\newblock Optimization of molecules via deep reinforcement learning.
\newblock {\em Scientific reports}, 9(1):1--10, 2019.
\bibitem{stokes2020deep}
Jonathan~M Stokes, Kevin Yang, Kyle Swanson, Wengong Jin, Andres Cubillos-Ruiz,
Nina~M Donghia, Craig~R MacNair, Shawn French, Lindsey~A Carfrae, Zohar
Bloom-Ackermann, et~al.
\newblock A deep learning approach to antibiotic discovery.
\newblock {\em Cell}, 180(4):688--702, 2020.
\bibitem{caldarelli2007scalefree}
Guido Caldarelli.
\newblock {\em Scale-free networks: complex webs in nature and technology}.
\newblock Oxford University Press, 2007.
\bibitem{barabasi2016network}
Albert-László Barabási and Márton Pósfai.
\newblock {\em Network science}.
\newblock Cambridge University Press, Cambridge, 2016.
\bibitem{holme2012}
Petter Holme and Jari Saram{\"a}ki.
\newblock Temporal networks.
\newblock {\em Physics reports}, 519(3):97--125, 2012.
\bibitem{guide_temporal}
Naoki Masuda and Renaud Lambiotte.
\newblock {\em A Guide to Temporal Networks}.
\newblock 10 2016.
\bibitem{holme2015modern}
Petter Holme.
\newblock Modern temporal network theory: a colloquium.
\newblock {\em The European Physical Journal B}, 88(9):1--30, 2015.
\bibitem{krings2012effects}
Gautier Krings, M{\'a}rton Karsai, Sebastian Bernhardsson, Vincent~D Blondel,
and Jari Saram{\"a}ki.
\newblock Effects of time window size and placement on the structure of an
aggregated communication network.
\newblock {\em EPJ Data Science}, 1(1):1--16, 2012.
\bibitem{arnold2021moving}
Naomi~A Arnold, Benjamin Steer, Imane Hafnaoui, Hugo~A Parada~G, Raul~J
Mondragon, F{\'e}lix Cuadrado, and Richard~G Clegg.
\newblock Moving with the times: Investigating the alt-right network gab with
temporal interaction graphs.
\newblock {\em Proceedings of the ACM on Human-Computer Interaction},
5(CSCW2):1--17, 2021.
\bibitem{porter2018multilayer}
Mason~A Porter.
\newblock What is... a multilayer network.
\newblock {\em Notices of the AMS}, 65(11), 2018.
\bibitem{aleta2019multilayer}
Alberto Aleta and Yamir Moreno.
\newblock Multilayer networks in a nutshell.
\newblock {\em Annual Review of Condensed Matter Physics}, 10(1):45--62, 2019.
\bibitem{kivelamultilayer}
Mikko Kivelä, Alex Arenas, Marc Barthelemy, James~P. Gleeson, Yamir Moreno,
and Mason~A. Porter.
\newblock {Multilayer networks}.
\newblock {\em Journal of Complex Networks}, 2(3):203--271, 07 2014.
\bibitem{hajra2004}
Kamalika~Basu Hajra and Parongama Sen.
\newblock Phase transitions in an aging network.
\newblock {\em Physical Review E}, 70(5):056103, 2004.
\bibitem{vranic2021growth}
Ana Vrani{\'c} and Marija~Mitrovi{\'c} Dankulov.
\newblock Growth signals determine the topology of evolving networks.
\newblock {\em Journal of Statistical Mechanics: Theory and Experiment},
2021(1):013405, 2021.
\bibitem{vranic2022universal}
Ana Vrani{\'c}, Jelena Smiljani{\'c}, and Marija~Mitrovi{\'c} Dankulov.
\newblock Universal growth of social groups: empirical analysis and modeling.
\newblock {\em Journal of Statistical Mechanics: Theory and Experiment},
2022(12):123402, 2022.
\bibitem{vranic2022sustainability}
Ana Vrani{\'c}, Aleksandar Toma{\v{s}}evi{\'c}, Aleksandra Alori{\'c}, and
Marija Mitrovi{\'c}~Dankulov.
\newblock Sustainability of stack exchange q\&a communities: the role of trust.
\newblock {\em EPJ Data Science}, 12(1):4, 2023.
\bibitem{gallagher2020clarified}
Ryan~J Gallagher, Jean-Gabriel Young, and Brooke~Foucault Welles.
\newblock A clarified typology of core-periphery structure in networks.
\newblock {\em Science advances}, 7(12):eabc9800, 2021.
\bibitem{melnikov2018toward}
A.~{Melnikov}, J.~{Lee}, V.~{Rivera}, M.~{Mazzara}, and L.~{Longo}.
\newblock Towards dynamic interaction-based reputation models.
\newblock In {\em 2018 IEEE 32nd International Conference on Advanced
Information Networking and Applications (AINA)}, pages 422--428, 2018.
\bibitem{estrada2015first}
Ernesto Estrada and Philip~A Knight.
\newblock {\em A first course in network theory}.
\newblock Oxford University Press, USA, 2015.
\bibitem{albert2000error}
R{\'e}ka Albert, Hawoong Jeong, and Albert-L{\'a}szl{\'o} Barab{\'a}si.
\newblock Error and attack tolerance of complex networks.
\newblock {\em nature}, 406(6794):378--382, 2000.
\bibitem{van2010graph}
Maarten Van~Steen.
\newblock Graph theory and complex networks.
\newblock {\em An introduction}, 144, 2010.
\bibitem{park2003}
Juyong Park and Mark~EJ Newman.
\newblock Origin of degree correlations in the internet and other networks.
\newblock {\em Physical Review E}, 68(2):026112, 2003.
\bibitem{newman2002assortative}
Mark~EJ Newman.
\newblock Assortative mixing in networks.
\newblock {\em Physical review letters}, 89(20):208701, 2002.
\bibitem{mata2020complex}
Ang{\'e}lica Sousa~da Mata.
\newblock Complex networks: a mini-review.
\newblock {\em Brazilian Journal of Physics}, 50:658--672, 2020.
\bibitem{newman2009random}
Mark~EJ Newman.
\newblock Random graphs with clustering.
\newblock {\em Physical review letters}, 103(5):058701, 2009.
\bibitem{jackson2010social}
Matthew~O Jackson.
\newblock {\em Social and economic networks}.
\newblock Princeton university press, 2010.
\bibitem{tiago2}
Tiago~A Schieber, Laura Carpi, Albert D{\'\i}az-Guilera, Panos~M Pardalos,
Cristina Masoller, and Mart{\'\i}n~G Ravetti.
\newblock Quantification of network structural dissimilarities.
\newblock {\em Nature communications}, 8(1):1--10, 2017.
\bibitem{fortunato2010community}
Santo Fortunato.
\newblock Community detection in graphs.
\newblock {\em Physics reports}, 486(3-5):75--174, 2010.
\bibitem{martin}
Martin Rosvall, Jean{-}Charles Delvenne, Michael~T. Schaub, and Renaud
Lambiotte.
\newblock Different approaches to community detection.
\newblock {\em CoRR}, abs/1712.06468, 2017.
\bibitem{fortunato2016community}
Santo Fortunato and Darko Hric.
\newblock Community detection in networks: A user guide.
\newblock {\em Physics reports}, 659:1--44, 2016.
\bibitem{peel2017ground}
Leto Peel, Daniel~B Larremore, and Aaron Clauset.
\newblock The ground truth about metadata and community detection in networks.
\newblock {\em Science advances}, 3(5):e1602548, 2017.
\bibitem{cherifi2019community}
Hocine Cherifi, Gergely Palla, Boleslaw~K Szymanski, and Xiaoyan Lu.
\newblock On community structure in complex networks: challenges and
opportunities.
\newblock {\em Applied Network Science}, 4(1):1--35, 2019.
\bibitem{guimera2004modularity}
Roger Guimera, Marta Sales-Pardo, and Lu{\'\i}s A~Nunes Amaral.
\newblock Modularity from fluctuations in random graphs and complex networks.
\newblock {\em Physical Review E}, 70(2):025101, 2004.
\bibitem{lee2019review}
Clement Lee and Darren~J Wilkinson.
\newblock A review of stochastic block models and extensions for graph
clustering.
\newblock {\em Applied Network Science}, 4(1):1--50, 2019.
\bibitem{peixoto2019bayesian}
Tiago~P Peixoto.
\newblock Bayesian stochastic blockmodeling.
\newblock {\em Advances in network clustering and blockmodeling}, pages
289--332, 2019.
\bibitem{newman2004finding}
Mark~EJ Newman and Michelle Girvan.
\newblock Finding and evaluating community structure in networks.
\newblock {\em Physical review E}, 69(2):026113, 2004.
\bibitem{good2010performance}
Benjamin~H. Good, Yves-Alexandre de~Montjoye, and Aaron Clauset.
\newblock Performance of modularity maximization in practical contexts.
\newblock {\em Phys. Rev. E}, 81:046106, Apr 2010.
\bibitem{barabasi2014network}
A.-L. Barab{\'a}si.
\newblock {Network science book}.
\newblock {\em Network Science}, 625, 2014.
\bibitem{newman2004analysis}
Mark~EJ Newman.
\newblock Analysis of weighted networks.
\newblock {\em Physical review E}, 70(5):056131, 2004.
\bibitem{blondel2008fast}
Vincent~D Blondel, Jean-Loup Guillaume, Renaud Lambiotte, and Etienne Lefebvre.
\newblock Fast unfolding of communities in large networks.
\newblock {\em Journal of statistical mechanics: theory and experiment},
2008(10):P10008, 2008.
\bibitem{fortunato2007resolution}
Santo Fortunato and Marc Barthélemy.
\newblock Resolution limit in community detection.
\newblock {\em Proceedings of the National Academy of Sciences}, 104(1):36--41,
2007.
\bibitem{reichardt2006statistical}
J{\"o}rg Reichardt and Stefan Bornholdt.
\newblock Statistical mechanics of community detection.
\newblock {\em Physical review E}, 74(1):016110, 2006.
\bibitem{rosvall2019different}
Martin Rosvall, Jean-Charles Delvenne, Michael~T Schaub, and Renaud Lambiotte.
\newblock Different approaches to community detection.
\newblock {\em Advances in network clustering and blockmodeling}, pages
105--119, 2019.
\bibitem{karrer2011stochastic}
Brian Karrer and Mark~EJ Newman.
\newblock Stochastic blockmodels and community structure in networks.
\newblock {\em Physical review E}, 83(1):016107, 2011.
\bibitem{funke2019}
Thorben Funke and Till Becker.
\newblock Stochastic block models: A comparison of variants and inference
methods.
\newblock {\em PLOS ONE}, 14(4):1--40, 04 2019.
\bibitem{csermely2013structure}
Peter Csermely, Andr{\'a}s London, Ling-Yun Wu, and Brian Uzzi.
\newblock Structure and dynamics of core/periphery networks.
\newblock {\em Journal of Complex Networks}, 1(2):93--123, 2013.
\bibitem{malliaros2020core}
Fragkiskos~D Malliaros, Christos Giatsidis, Apostolos~N Papadopoulos, and
Michalis Vazirgiannis.
\newblock The core decomposition of networks: Theory, algorithms and
applications.
\newblock {\em The VLDB Journal}, 29(1):61--92, 2020.
\bibitem{borgatti2000models}
Stephen~P Borgatti and Martin~G Everett.
\newblock Models of core/periphery structures.
\newblock {\em Social networks}, 21(4):375--395, 2000.
\bibitem{zhang2015identification}
Xiao Zhang, Travis Martin, and Mark~EJ Newman.
\newblock Identification of core-periphery structure in networks.
\newblock {\em Physical Review E}, 91(3):032803, 2015.
\bibitem{mitzenmacher2004brief}
Michael Mitzenmacher.
\newblock A brief history of generative models for power law and lognormal
distributions.
\newblock {\em Internet mathematics}, 1(2):226--251, 2004.
\bibitem{newman2005power}
Mark~EJ Newman.
\newblock Power laws, pareto distributions and zipf's law.
\newblock {\em Contemporary physics}, 46(5):323--351, 2005.
\bibitem{limpert2001log}
Eckhard Limpert, Werner~A Stahel, and Markus Abbt.
\newblock Log-normal distributions across the sciences: keys and clues: on the
charms of statistics, and how mechanical models resembling gambling machines
offer a link to a handy way to characterize log-normal distributions, which
can provide deeper insight into variability and probability—normal or
log-normal: that is the question.
\newblock {\em BioScience}, 51(5):341--352, 2001.
\bibitem{nair2022fundamentals}
J.~Nair, A.~Wierman, and B.~Zwart.
\newblock {\em The Fundamentals of Heavy Tails}.
\newblock Cambridge Series in Statistical and Probabilistic Mathematics.
Cambridge University Press, 2022.
\bibitem{clauset2009power}
Aaron Clauset, Cosma~Rohilla Shalizi, and Mark~EJ Newman.
\newblock Power-law distributions in empirical data.
\newblock {\em SIAM review}, 51(4):661--703, 2009.
\bibitem{bollobas2003mathematical}
B{\'e}la Bollob{\'a}s and Oliver~M Riordan.
\newblock Mathematical results on scale-free random graphs.
\newblock {\em Handbook of graphs and networks: from the genome to the
internet}, pages 1--34, 2003.
\bibitem{albert2002statistical}
R{\'e}ka Albert and Albert-L{\'a}szl{\'o} Barab{\'a}si.
\newblock Statistical mechanics of complex networks.
\newblock {\em Reviews of modern physics}, 74(1):47, 2002.
\bibitem{krapivsky2001}
Paul~L Krapivsky and Sidney Redner.
\newblock Organization of growing random networks.
\newblock {\em Physical Review E}, 63(6):066123, 2001.
\bibitem{kantelhardt2008fractal}
Jan~W Kantelhardt.
\newblock Fractal and multifractal time series.
\newblock {\em arXiv preprint arXiv:0804.0747}, 2008.
\bibitem{fan2012fractal}
Chao Fan, Jin-Li Guo, and Yi-Long Zha.
\newblock Fractal analysis on human dynamics of library loans.
\newblock {\em Physica A: Statistical Mechanics and its Applications},
391(24):6617--6625, 2012.
\bibitem{sidorov2018fractality}
Sergei Sidorov, Alexey Faizliev, and Vladimir Balash.
\newblock Fractality and multifractality analysis of news sentiments time
series.
\newblock {\em IAENG International Journal of Applied Mathematics}, 48(1),
2018.
\bibitem{hurst1951long}
Harold~Edwin Hurst.
\newblock Long-term storage capacity of reservoirs.
\newblock {\em Transactions of the American society of civil engineers},
116(1):770--799, 1951.
\bibitem{hu2001effect}
Kun Hu, Plamen~Ch Ivanov, Zhi Chen, Pedro Carpena, and H~Eugene Stanley.
\newblock Effect of trends on detrended fluctuation analysis.
\newblock {\em Physical Review E}, 64(1):011114, 2001.
\bibitem{kantelhardt2001detecting}
Jan~W Kantelhardt, Eva Koscielny-Bunde, Henio~HA Rego, Shlomo Havlin, and Armin
Bunde.
\newblock Detecting long-range correlations with detrended fluctuation
analysis.
\newblock {\em Physica A: Statistical Mechanics and its Applications},
295(3-4):441--454, 2001.
\bibitem{kantelhardt2002}
Jan~W Kantelhardt, Stephan~A Zschiegner, Eva Koscielny-Bunde, Shlomo Havlin,
Armin Bunde, and H~Eugene Stanley.
\newblock Multifractal detrended fluctuation analysis of nonstationary time
series.
\newblock {\em Physica A: Statistical Mechanics and its Applications},
316(1-4):87--114, 2002.
\bibitem{ihlen2012}
E.~Alexander F.~E.A.F.I. Ihlen.
\newblock {Introduction to multifractal detrended fluctuation analysis in
Matlab}.
\newblock {\em Front. Psychol.}, 3:141, 2012.
\bibitem{barabasi2002evolution}
Albert-Laszlo Barab{\^a}si, Hawoong Jeong, Zoltan N{\'e}da, Erzsebet Ravasz,
Andras Schubert, and Tamas Vicsek.
\newblock Evolution of the social network of scientific collaborations.
\newblock {\em Physica A: Statistical mechanics and its applications},
311(3-4):590--614, 2002.
\bibitem{newman2001structure}
Mark~EJ Newman.
\newblock The structure of scientific collaboration networks.
\newblock {\em Proceedings of the national academy of sciences},
98(2):404--409, 2001.
\bibitem{smiljanic2017associative}
Jelena Smiljani{\'c} and Marija Mitrovi{\'c}~Dankulov.
\newblock Associative nature of event participation dynamics: A network theory
approach.
\newblock {\em PloS one}, 12(2):e0171565, 2017.
\bibitem{suvakov2013}
M.~\v{S}uvakov, M.~Mitrovi\'{c}, V.~Gligorijevi\'{c}, and B.~Tadi\'{c}.
\newblock {How the online social networks are used: dialogues-based structure
of MySpace}.
\newblock {\em Journal of The Royal Society Interface}, 10:20120819, 2013.
\bibitem{makse1996method}
Hern{\'a}n~A Makse, Shlomo Havlin, Moshe Schwartz, and H~Eugene Stanley.
\newblock Method for generating long-range correlations for large systems.
\newblock {\em Physical Review E}, 53(5):5445, 1996.
\bibitem{mondani2014fat}
Hernan Mondani, Petter Holme, and Fredrik Liljeros.
\newblock Fat-tailed fluctuations in the size of organizations: the role of
social influence.
\newblock {\em PLoS One}, 9(7):e100527, 2014.
\bibitem{fu2005growth}
Dongfeng Fu, Fabio Pammolli, Sergey~V Buldyrev, Massimo Riccaboni, Kaushik
Matia, Kazuko Yamasaki, and H~Eugene Stanley.
\newblock The growth of business firms: Theoretical framework and empirical
evidence.
\newblock {\em Proceedings of the National Academy of Sciences},
102(52):18801--18806, 2005.
\bibitem{frasco2014spatially}
Gerald~F Frasco, Jie Sun, Hern{\'a}n~D Rozenfeld, and Daniel Ben-Avraham.
\newblock Spatially distributed social complex networks.
\newblock {\em Physical Review X}, 4(1):011008, 2014.
\bibitem{qian2014origin}
Jiang-Hai Qian, Qu~Chen, Ding-Ding Han, Yu-Gang Ma, and Wen-Qing Shen.
\newblock Origin of gibrat law in internet: Asymmetric distribution of the
correlation.
\newblock {\em Physical Review E}, 89(6):062808, 2014.
\bibitem{kairam2012life}
Sanjay~Ram Kairam, Dan~J Wang, and Jure Leskovec.
\newblock The life and death of online groups: Predicting group growth and
longevity.
\newblock In {\em Proceedings of the fifth ACM international conference on Web
search and data mining}, pages 673--682, 2012.
\bibitem{zheleva2009co}
Elena Zheleva, Hossam Sharara, and Lise Getoor.
\newblock Co-evolution of social and affiliation networks.
\newblock In {\em Proceedings of the 15th ACM SIGKDD international conference
on Knowledge discovery and data mining}, pages 1007--1016, 2009.
\bibitem{mitrovic2011quantitative}
Marija Mitrovi{\'c}, Georgios Paltoglou, and Bosiljka Tadi{\'c}.
\newblock Quantitative analysis of bloggers’ collective behavior powered by
emotions.
\newblock {\em Journal of Statistical Mechanics: Theory and Experiment},
2011(02):P02005, 2011.
\bibitem{dankulov2015dynamics}
Marija~Mitrovi{\'c} Dankulov, Roderick Melnik, and Bosiljka Tadi{\'c}.
\newblock The dynamics of meaningful social interactions and the emergence of
collective knowledge.
\newblock {\em Scientific reports}, 5(1):1--10, 2015.
\bibitem{backstrom2006group}
Lars Backstrom, Dan Huttenlocher, Jon Kleinberg, and Xiangyang Lan.
\newblock Group formation in large social networks: membership, growth, and
evolution.
\newblock In {\em Proceedings of the 12th ACM SIGKDD international conference
on Knowledge discovery and data mining}, pages 44--54, 2006.
\bibitem{jsdivergence}
Jop Bri\"et and Peter Harremo\"es.
\newblock Properties of classical and quantum jensen-shannon divergence.
\newblock {\em Phys. Rev. A}, 79:052311, May 2009.
\bibitem{barabasi1999mean}
Albert-L{\'a}szl{\'o} Barab{\'a}si, R{\'e}ka Albert, and Hawoong Jeong.
\newblock Mean-field theory for scale-free random networks.
\newblock {\em Physica A: Statistical Mechanics and its Applications},
272(1-2):173--187, 1999.
\bibitem{leskovec2008microscopic}
Jure Leskovec, Lars Backstrom, Ravi Kumar, and Andrew Tomkins.
\newblock Microscopic evolution of social networks.
\newblock In {\em Proceedings of the 14th ACM SIGKDD international conference
on Knowledge discovery and data mining}, pages 462--470, 2008.
\bibitem{torok2017cascading}
J{\'a}nos T{\"o}r{\"o}k and J{\'a}nos Kert{\'e}sz.
\newblock Cascading collapse of online social networks.
\newblock {\em Scientific reports}, 7(1):1--8, 2017.
\bibitem{gross2008adaptive}
Thilo Gross and Bernd Blasius.
\newblock Adaptive coevolutionary networks: a review.
\newblock {\em Journal of the Royal Society Interface}, 5(20):259--271, 2008.
\bibitem{han2017emergence}
Xiao Han, Shinan Cao, Zhesi Shen, Boyu Zhang, Wen-Xu Wang, Ross Cressman, and
H~Eugene Stanley.
\newblock Emergence of communities and diversity in social networks.
\newblock {\em Proceedings of the National Academy of Sciences},
114(11):2887--2891, 2017.
\bibitem{lhorincz2019collapse}
L{\'a}szl{\'o} L{\H{o}}rincz, J{\'u}lia Koltai, Anna~Fruzsina Gy{\H{o}}r, and
K{\'a}roly Tak{\'a}cs.
\newblock Collapse of an online social network: Burning social capital to
create it?
\newblock {\em Social Networks}, 57:43--53, 2019.
\bibitem{orsini2015quantifying}
C.~Orsini, M.~Mitrovi\'c~Dankulov, P.~Colomer-de Sim{\'o}n, A.~Jamakovic,
P.~Mahadevan, A.~Vahdat, K.~E. Bassler, Z.~Toroczkai, M.~Bogu{\~n}{\'a},
G.~Caldarelli, S.~Fortunato, and Kriukov D.
\newblock {Quantifying randomness in real networks}.
\newblock {\em Nat. Commun}, 6:8627, 2015.
\bibitem{centola2007cascade}
Damon Centola, V{\'\i}ctor~M Egu{\'\i}luz, and Michael~W Macy.
\newblock Cascade dynamics of complex propagation.
\newblock {\em Physica A: Statistical Mechanics and its Applications},
374(1):449--456, 2007.
\bibitem{santos2019activity}
Tiago Santos, Simon Walk, Roman Kern, Markus Strohmaier, and Denis Helic.
\newblock Activity archetypes in question-and-answer (q8a) websites—a study
of 50 stack exchange instances.
\newblock {\em ACM Transactions on Social Computing}, 2(1):1--23, 2019.
\bibitem{santos2019self}
Tiago Santos, Simon Walk, Roman Kern, Markus Strohmaier, and Denis Helic.
\newblock Self-and cross-excitation in stack exchange question \& answer
communities.
\newblock In {\em The World Wide Web Conference}, pages 1634--1645, 2019.
\bibitem{gabaix1999}
X.~Gabaix.
\newblock {Zipf's Law and the Growth of Cities}.
\newblock {\em Am. Econ. Rev.}, 89:129--132, 1999.
\bibitem{dover2020sustainable}
Yaniv Dover, Jacob Goldenberg, and Daniel Shapira.
\newblock Sustainable online communities exhibit distinct hierarchical
structures across scales of size.
\newblock {\em Proceedings of the Royal Society A}, 476(2239):20190730, 2020.
\bibitem{yashkina2020}
{Ekaterina} {Yashkina}, {Arseny} {Pinigin}, {JooYoung} {Lee}, {Manuel}
{Mazzara}, {Akinlolu Solomon} {Adekotujo}, {Adam} {Zubair}, and {Luca}
{Longo}.
\newblock Expressing trust with temporal frequency of user interaction in
online communities.
\newblock Advances in Intelligent Systems and Computing, pages 1133--1146,
Cham, 2020. Springer International Publishing.
\bibitem{labatut2012accuracy}
Vincent Labatut and Hocine Cherifi.
\newblock Accuracy measures for the comparison of classifiers.
\newblock {\em arXiv preprint arXiv:1207.3790}, 2012.
\bibitem{danon2005comparing}
Leon Danon, Albert Diaz-Guilera, Jordi Duch, and Alex Arenas.
\newblock Comparing community structure identification.
\newblock {\em Journal of statistical mechanics: Theory and experiment},
2005(09):P09008, 2005.
\bibitem{santos2009use}
Jorge~M Santos and Mark Embrechts.
\newblock On the use of the adjusted rand index as a metric for evaluating
supervised classification.
\newblock In {\em International conference on artificial neural networks},
pages 175--184. Springer, 2009.
\bibitem{hubert1985comparing}
Lawrence Hubert and Phipps Arabie.
\newblock Comparing partitions.
\newblock {\em Journal of classification}, 2(1):193--218, 1985.
\end{thebibliography}