-
Notifications
You must be signed in to change notification settings - Fork 3
/
uictest.bib
1087 lines (1017 loc) · 47.9 KB
/
uictest.bib
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
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
@BOOK{knuth:tex,
AUTHOR = "Donald E. Knuth",
TITLE = "The {\TeX} Book",
PUBLISHER = {Addison-Wesley},
YEAR = "1984",
ADDRESS = {Reading, Massachusetts},
NOTE = {Reprinted as Vol. A of {\itshape Computers \& Typesetting\/}, 1986}
}
@BOOK{knuth:pgm,
AUTHOR = "Donald E. Knuth",
TITLE = "{\TeX}: The Program",
PUBLISHER = {Addison-Wesley},
YEAR = "1986",
VOLUME = {B},
SERIES = {Computers \& Typesetting},
ADDRESS = {Reading, Massachusetts}
}
@TECHREPORT{knuth:web,
AUTHOR = {Donald E. Knuth},
TITLE = {The {WEB} System for Structured Documentation, Version 2.3},
INSTITUTION = {Computer Science Department, Stanford University},
YEAR = {1983},
NUMBER = {STAN-CS-83-980},
ADDRESS = {Stanford, California},
MONTH = Sep
}
@ARTICLE{knuth:lp,
AUTHOR = {Donald E. Knuth},
TITLE = {Literate Programming},
JOURNAL = {The Computer Journal},
YEAR = {1984},
VOLUME = {27},
NUMBER = {2},
PAGES = {97--111},
MONTH = May
}
@TECHREPORT{knuth:tor,
AUTHOR = {Donald E. Knuth},
TITLE = {A Torture Test for {\TeX}, Version 1.3},
INSTITUTION = {Computer Science Department, Stanford University},
YEAR = {1984},
NUMBER = {STAN-CS-84-1027},
ADDRESS = {Stanford, California},
MONTH = Nov
}
@ARTICLE{furuta:pctex,
AUTHOR = "Richard K. Furuta and Pierre A. MacKay",
TITLE = "Two {\TeX} Implementations for the {IBM PC}",
JOURNAL = "Dr. Dobb's Journal",
YEAR = "1985",
VOLUME = "10",
NUMBER = "9",
PAGES = "80--91",
MONTH = Sep
}
@TECHREPORT{des:tex,
AUTHOR = {Jacques D{\'e}sarm{\'e}nien},
TITLE = {How to Run {\TeX} in French},
INSTITUTION = {Computer Science Department, Stanford University},
YEAR = {1984},
NUMBER = {SATN-CS-1013},
ADDRESS = {Stanford, California},
MONTH = Aug
}
@TECHREPORT{samuel:tex,
AUTHOR = "Arthur L. Samuel",
TITLE = "First Grade {\TeX}: A Beginner's {\TeX} Manual",
INSTITUTION = {Computer Science Department, Stanford University},
YEAR = "1983",
NUMBER = "SATN-CS-83-985",
ADDRESS = {Stanford, California},
MONTH = Nov
}
@BOOK{lamport:latex,
AUTHOR = {Leslie Lamport},
TITLE = {{\LaTeX}: A Document Preparation System. User's Guide and
Reference Manual},
PUBLISHER = {Addison-Wesley},
YEAR = {1986},
ADDRESS = {Reading, Massachusetts}
}
@BOOK{spivak:ams,
AUTHOR = {Michael D. Spivak},
TITLE = {The Joy of {\TeX}},
PUBLISHER = {American Mathematical Society},
YEAR = {1985}
}
@MANUAL{patashnik:bibtex,
TITLE = "Bib{\TeX}ing",
AUTHOR = "Oren Patashnik",
ORGANIZATION = {Computer Science Department, Stanford University},
ADDRESS = {Stanford, California},
MONTH = jan,
YEAR = "1988",
NOTE = {Available in the Bib{\TeX} release}
}
@MANUAL{patashnik:bibhax,
TITLE = {Designing Bib{\TeX} Styles},
AUTHOR = {Oren Patashnik},
ORGANIZATION = {Computer Science Department, Stanford University},
MONTH = jan,
YEAR = {1988}
}
@ARTICLE{fuchs:dvi0,
AUTHOR = "David Fuchs",
TITLE = "The Format of {\TeX}'s {DVI} Files Version 1",
JOURNAL = "TUGboat",
YEAR = "1981",
VOLUME = "2",
NUMBER = "2",
PAGES = "12--16",
MONTH = Jul
}
@ARTICLE{fuchs:dvi,
AUTHOR = "David Fuchs",
TITLE = "Device Independent File Format",
JOURNAL = "TUGboat",
YEAR = "1982",
VOLUME = "3",
NUMBER = "2",
PAGES = "14--19",
MONTH = Oct
}
@incollection{NIPS2016_6181,
title = {Learning Influence Functions from Incomplete Observations},
author = {He, Xinran and Xu, Ke and Kempe, David and Liu, Yan},
booktitle = {Advances in Neural Information Processing Systems 29},
editor = {D. D. Lee and M. Sugiyama and U. V. Luxburg and I. Guyon and R. Garnett},
pages = {2073--2081},
year = {2016},
publisher = {Curran Associates, Inc.},
url = {http://papers.nips.cc/paper/6181-learning-influence-functions-from-incomplete-observations.pdf}
}
@inproceedings{TraitsLeader17,
author={Amornbunchornvej, Chainarong and Crofoot, Margaret C and Berger-Wolf, Tanya Y},
booktitle={ASONAM'17},
title={Identifying Traits of Leaders in Movement Initiation},
year={2017},
pages={660--666},
month={July}
}
@inproceedings{flicaMilets,
author={Amornbunchornvej, Chainarong and Brugere, Ivan and Strandburg-Peshkin, Ariana and Farine, Damien and Crofoot, Margaret C and Berger-Wolf, Tanya Y},
booktitle={SIGKDD Workshop on Mining and Learning from Time Series (MiLeTS 2017)},
title={Coordination Event Detection and Initiator Identification in Time Series Data},
pages={1-9},
year={2017},
month={August},
}
@article {Sanchez-Amaro20170259,
author = {S{\'a}nchez-Amaro, Alejandro and Duguid, Shona and Call, Josep and Tomasello, Michael},
title = {Chimpanzees, bonobos and children successfully coordinate in conflict situations},
volume = {284},
number = {1856},
year = {2017},
doi = {10.1098/rspb.2017.0259},
publisher = {The Royal Society},
abstract = {Social animals need to coordinate with others to reap the benefits of group-living even when individuals{\textquoteright} interests are misaligned. We compare how chimpanzees, bonobos and children coordinate their actions with a conspecific in a Snowdrift game, which provides a model for understanding how organisms coordinate and make decisions under conflict. In study 1, we presented pairs of chimpanzees, bonobos and children with an unequal reward distribution. In the critical condition, the preferred reward could only be obtained by waiting for the partner to act, with the risk that if no one acted, both would lose the rewards. Apes and children successfully coordinated to obtain the rewards. Children used a {\textquoteleft}both-partner-pull{\textquoteright} strategy and communicated during the task, while some apes relied on an {\textquoteleft}only-one-partner-pulls{\textquoteright} strategy to solve the task, although there were also signs of strategic behaviour as they waited for their partner to pull when that strategy led to the preferred reward. In study 2, we presented pairs of chimpanzees and bonobos with the same set-up as in study 1 with the addition of a non-social option that provided them with a secure reward. In this situation, apes had to actively decide between the unequal distribution and the alternative. In this set-up, apes maximized their rewards by taking their partners{\textquoteright} potential actions into account. In conclusion, children and apes showed clear instances of strategic decision-making to maximize their own rewards while maintaining successful coordination.},
issn = {0962-8452},
URL = {http://rspb.royalsocietypublishing.org/content/284/1856/20170259},
eprint = {http://rspb.royalsocietypublishing.org/content/284/1856/20170259.full.pdf},
journal = {Proceedings of the Royal Society of London B: Biological Sciences}
}
@article{10.1371/journal.pcbi.1002961,
author = {Mann, Richard P. AND Perna, Andrea AND Strömbom, Daniel AND Garnett, Roman AND Herbert-Read, James E. AND Sumpter, David J. T. AND Ward, Ashley J. W.},
journal = {PLOS Computational Biology},
publisher = {Public Library of Science},
title = {Multi-scale Inference of Interaction Rules in Animal Groups Using Bayesian Model Selection},
year = {2013},
month = {03},
volume = {9},
url = {https://doi.org/10.1371/journal.pcbi.1002961},
pages = {1-13},
abstract = {Author Summary The collective movement of animals in a group is an impressive phenomenon whereby large scale spatio-temporal patterns emerge from simple interactions between individuals. Theoretically, much of our understanding of animal group motion comes from models inspired by statistical physics. In these models, animals are treated as moving (self-propelled) particles that interact with each other according to simple rules. Recently, researchers have shown greater interest in using experimental data to verify which rules are actually implemented by a particular animal species. In our study, we present a rigorous selection between alternative models inspired by the literature for a system of glass prawns. We find that the classic theoretical models do not accurately predict either the fine scale or large scale behaviour of the system. Instead, individual animals appear to be interacting even when completely separated from each other. To resolve this we introduce a new class of models wherein prawns ‘remember‚ their previous interactions, integrating their experiences over time when deciding to change behaviour. These show that the fine scale and large scale behaviour of the prawns is consistent with interactions only between individuals who are close together.},
number = {3},
doi = {10.1371/journal.pcbi.1002961}
}
@article {Farine20162243,
author = {Farine, D. R. and Strandburg-Peshkin, A. and Couzin, I. D. and Berger-Wolf, T. Y. and Crofoot, M. C.},
title = {Individual variation in local interaction rules can explain emergent patterns of spatial organization in wild baboons},
volume = {284},
number = {1853},
year = {2017},
doi = {10.1098/rspb.2016.2243},
publisher = {The Royal Society},
abstract = {Researchers have long noted that individuals occupy consistent spatial positions within animal groups. However, an individual{\textquoteright}s position depends not only on its own behaviour, but also on the behaviour of others. Theoretical models of collective motion suggest that global patterns of spatial assortment can arise from individual variation in local interaction rules. However, this prediction remains untested. Using high-resolution GPS tracking of members of a wild baboon troop, we identify consistent inter-individual differences in within-group spatial positioning. We then apply an algorithm that identifies what number of conspecific group members best predicts the future location of each individual (we call this the individual{\textquoteright}s neighbourhood size) while the troop is moving. We find clear variation in the most predictive neighbourhood size, and this variation relates to individuals{\textquoteright} propensity to be found near the centre of their group. Using simulations, we show that having different neighbourhood sizes is a simple candidate mechanism capable of linking variation in local individual interaction rules{\textemdash}in this case how many conspecifics an individual interacts with{\textemdash}to global patterns of spatial organization, consistent with the patterns we observe in wild primates and a range of other organisms.},
issn = {0962-8452},
URL = {http://rspb.royalsocietypublishing.org/content/284/1853/20162243},
eprint = {http://rspb.royalsocietypublishing.org/content/284/1853/20162243.full.pdf},
journal = {Proceedings of the Royal Society of London B: Biological Sciences}
}
@inproceedings{Yu:2010:CDM:1838186.1838192,
author={Yu, Chih-Han and Werfel, Justin and Nagpal, Radhika},
booktitle={AAMAS'10},
title={Collective Decision-making in Multi-agent Systems by Implicit Leadership},
year={2010},
pages={1189--1196},
month={May}
}
@ARTICLE{CaoMultiAgent:2013,
author={Y. Cao and W. Yu and W. Ren and G. Chen},
journal={IEEE Transactions on Industrial Informatics},
title={An Overview of Recent Progress in the Study of Distributed Multi-Agent Coordination},
year={2013},
volume={9},
number={1},
pages={427-438},
keywords={distributed control;multi-robot systems;control systems;distributed coordination;distributed multiagent coordination;multiple vehicles;robotics journals;systems and control community;unmanned aerial vehicles;unmanned ground vehicles;unmanned underwater vehicles;Algorithm design and analysis;Delay;Delay effects;Heuristic algorithms;Network topology;Vehicle dynamics;Vehicles;Distributed coordination;formation control;multi-agent system;sensor network},
doi={10.1109/TII.2012.2219061},
ISSN={1551-3203},
month={Feb},}
@book{lewis2013cooperative,
title={Cooperative control of multi-agent systems: optimal and adaptive design approaches},
author={Lewis, Frank L and Zhang, Hongwei and Hengster-Movric, Kristian and Das, Abhijit},
year={2013},
publisher={Springer Science \& Business Media}
}
@article{doi:10.1137/100791671,
author = {Bernard Chazelle},
title = {The Total s-Energy of a Multiagent System},
journal = {SIAM Journal on Control and Optimization},
volume = {49},
number = {4},
pages = {1680-1706},
year = {2011},
doi = {10.1137/100791671},
URL = {
https://doi.org/10.1137/100791671
},
eprint = {
https://doi.org/10.1137/100791671
}
}
@article{doi:10.1093/beheco/art090,
author = {Brown, Culum and Irving, Eleanor},
title = {Individual personality traits influence group exploration in a feral guppy population},
journal = {Behavioral Ecology},
volume = {25},
number = {1},
pages = {95},
year = {2014},
doi = {10.1093/beheco/art090},
}
@article {Boydston:2001,
author = {Boydston, Erin E. and Morelli, Toni Lyn and Holekamp, Kay E. },
title = {Sex Differences in Territorial Behavior Exhibited by the Spotted Hyena (Hyaenidae, Crocuta crocuta)},
journal = {Ethology},
volume = {107},
number = {5},
publisher = {Blackwell Science Ltd.},
issn = {1439-0310},
url = {http://dx.doi.org/10.1046/j.1439-0310.2001.00672.x},
doi = {10.1046/j.1439-0310.2001.00672.x},
pages = {369--385},
year = {2001},
}
@article{Stueckle2008,
title = "To follow or not to follow: decision making and leadership during the morning departure in chacma baboons",
journal = "Animal Behaviour",
volume = "75",
number = "6",
pages = "1995 - 2004",
year = "2008",
note = "",
issn = "0003-3472",
doi = "http://dx.doi.org/10.1016/j.anbehav.2007.12.012",
url = "http://www.sciencedirect.com/science/article/pii/S0003347208000857",
author = "Sabine Stueckle and Dietmar Zinner",
keywords = "chacma baboon",
keywords = "collective movement",
keywords = "consensus",
keywords = "decision making",
keywords = "leadership",
keywords = ""
}
@article{Couzin:2005aa,
title={Effective leadership and decision-making in animal groups on the move},
author={Couzin, Iain D and Krause, Jens and Franks, Nigel R and Levin, Simon A},
journal={Nature},
volume={433},
number={7025},
pages={513--516},
year={2005},
publisher={Nature Publishing Group}
}
@Inbook{Sun2011,
author="Sun, Jimeng
and Tang, Jie",
editor="Aggarwal, Charu C.",
title="A Survey of Models and Algorithms for Social Influence Analysis",
bookTitle="Social Network Data Analytics",
year="2011",
publisher="Springer US",
address="Boston, MA",
pages="177--214",
abstract="Social influence is the behavioral change of a person because of the perceived relationship with other people, organizations and society in general. Social influence has been a widely accepted phenomenon in social networks for decades. Many applications have been built based around the implicit notation of social influence between people, such as marketing, advertisement and recommendations. With the exponential growth of online social network services such as Facebook and Twitter, social influence can for the first time be measured over a large population. In this chapter, we survey the research on social influence analysis with a focus on the computational aspects. First, we present statistical measurements related to social influence. Second, we describe the literature on social similarity and influences. Third, we present the research on social influence maximization which has many practical applications including marketing and advertisement.",
isbn="978-1-4419-8462-3",
doi="10.1007/978-1-4419-8462-3_7",
url="http://dx.doi.org/10.1007/978-1-4419-8462-3_7"
}
@book{LeadershipBook,
title={Leadership: Theory and practice},
author={Northouse, Peter G},
year={2016},
publisher={Sage publications}
}
@article{WilsonSocbio,
title={Sociobiology: the new synthesis},
author={Wilson, Edward O},
journal={Philosophy of Biology: An Anthology},
pages={339},
year={2009},
publisher={John Wiley \& Sons}
}
@article{Brent2015746,
title = "Ecological Knowledge, Leadership, and the Evolution of Menopause in Killer Whales",
journal = "Current Biology",
volume = "25",
number = "6",
pages = "746 - 750",
year = "2015",
note = "",
issn = "0960-9822",
doi = "http://dx.doi.org/10.1016/j.cub.2015.01.037",
url = "http://www.sciencedirect.com/science/article/pii/S096098221500069X",
author = "Lauren J.N. Brent and Daniel W. Franks and Emma A. Foster and Kenneth C. Balcomb and Michael A. Cant and Darren P. Croft",
}
@article {Strandburg-Peshkin1358,
author = {Strandburg-Peshkin, Ariana and Farine, Damien R. and Couzin, Iain D. and Crofoot, Margaret C.},
title = {Shared decision-making drives collective movement in wild baboons},
volume = {348},
number = {6241},
pages = {1358--1361},
year = {2015},
doi = {10.1126/science.aaa5099},
publisher = {American Association for the Advancement of Science},
abstract = {How do groups of animals, including humans, make decisions that affect the entire group? Evidence collected from schooling animals suggests that the process is somewhat democratic, with nearest neighbors and the majority shaping overall collective behavior. In animals with hierarchical social structures such as primates or wolves, however, such democracy may be complicated by dominance. Strandburg-Peshkin et al. monitored all the individuals within a baboon troop continuously over the course of their daily activities. Even within this highly socially structured species, movement decisions emerged via a shared process. Thus, democracy may be an inherent trait of collective behavior.Science, this issue p. 1358Conflicts of interest about where to go and what to do are a primary challenge of group living. However, it remains unclear how consensus is achieved in stable groups with stratified social relationships. Tracking wild baboons with a high-resolution global positioning system and analyzing their movements relative to one another reveals that a process of shared decision-making governs baboon movement. Rather than preferentially following dominant individuals, baboons are more likely to follow when multiple initiators agree. When conflicts arise over the direction of movement, baboons choose one direction over the other when the angle between them is large, but they compromise if it is not. These results are consistent with models of collective motion, suggesting that democratic collective action emerging from simple rules is widespread, even in complex, socially stratified societies.},
issn = {0036-8075},
URL = {http://science.sciencemag.org/content/348/6241/1358},
eprint = {http://science.sciencemag.org/content/348/6241/1358.full.pdf},
journal = {Science}
}
@article {Mares3989,
author = {Mares, Rafael and Young, Andrew J. and Clutton-Brock, Tim H.},
title = {Individual contributions to territory defence in a cooperative breeder: weighing up the benefits and costs},
volume = {279},
number = {1744},
pages = {3989--3995},
year = {2012},
doi = {10.1098/rspb.2012.1071},
publisher = {The Royal Society},
abstract = {While investment in territory defence is expected to be influenced by its benefits, the additional role that costs may play is rarely considered. Here, we quantify both benefits and costs of repelling prospecting males in cooperative meerkats, and demonstrate that both are required to explain the substantial variation in individual contributions to the defence observed. Males benefit more from repelling prospectors than females, as males may lose dominance and be expelled during intrusions. Accordingly, males invest the most in repelling prospectors. We also show that males experience an associated cost in the form of reduced weight gain and, as such, heavier males contribute more to chasing prospectors. Finally, we show evidence of a cost not restricted to individuals engaged in chasing: both males and females reduce their contributions to feeding dependent pups when prospectors are present, resulting in a reduction in pup weight gain in this context. Males appear to adjust their contributions to chasing in light of this cost, chasing at lower rates when their group contains dependent young. Our findings support the view that investment in cooperative behaviours can be attributed to benefits and costs, and highlight the additional importance of considering trade-offs in investment between cooperative behaviours.},
issn = {0962-8452},
URL = {http://rspb.royalsocietypublishing.org/content/279/1744/3989},
eprint = {http://rspb.royalsocietypublishing.org/content/279/1744/3989.full.pdf},
journal = {Proceedings of the Royal Society of London B: Biological Sciences}
}
@article{Kendall1938,
ISSN = {00063444},
URL = {http://www.jstor.org/stable/2332226},
author = {M. G. Kendall},
journal = {Biometrika},
number = {1/2},
pages = {81-93},
publisher = {[Oxford University Press, Biometrika Trust]},
title = {A New Measure of Rank Correlation},
volume = {30},
year = {1938}
}
@inproceedings{li2016adversarial,
title={Adversarial Sequence Tagging.},
author={Li, Jia and Asif, Kaiser and Wang, Hong and Ziebart, Brian D and Berger-Wolf, Tanya Y},
booktitle={IJCAI},
pages={1690--1696},
year={2016}
}
@ARTICLE{Sakoe1978,
author={H. Sakoe and S. Chiba},
journal={IEEE Transactions on Acoustics, Speech, and Signal Processing},
title={Dynamic programming algorithm optimization for spoken word recognition},
year={1978},
volume={26},
number={1},
pages={43-49},
keywords={Acoustics;Constraint optimization;Dynamic programming;Feature extraction;Fluctuations;Heuristic algorithms;Pattern matching;Signal processing algorithms;Speech processing;Timing},
doi={10.1109/TASSP.1978.1163055},
ISSN={0096-3518},
month={Feb},}
@article{PETIT2010635,
title = "Decision-making processes: The case of collective movements",
journal = "Behavioural Processes",
volume = "84",
number = "3",
pages = "635 - 647",
year = "2010",
note = "Special section: Collective movements",
issn = "0376-6357",
doi = "http://dx.doi.org/10.1016/j.beproc.2010.04.009",
url = "http://www.sciencedirect.com/science/article/pii/S0376635710001221",
author = "Odile Petit and Richard Bon",
keywords = "Consensus",
keywords = "Inter-individual relationships",
keywords = "Leadership",
keywords = "Self-organization",
keywords = "Social status"
}
@article{HOOPER2010633,
title = "A theory of leadership in human cooperative groups",
journal = "Journal of Theoretical Biology",
volume = "265",
number = "4",
pages = "633 - 646",
year = "2010",
note = "",
issn = "0022-5193",
doi = "http://dx.doi.org/10.1016/j.jtbi.2010.05.034",
url = "http://www.sciencedirect.com/science/article/pii/S0022519310002778",
author = "Paul L. Hooper and Hillard S. Kaplan and James L. Boone",
keywords = "Hierarchy",
keywords = "Leadership",
keywords = "Collective action",
keywords = "Free-rider problem",
keywords = "Social complexity"
}
@article {Glowacki:2015,
author = {Glowacki, Luke and von Rueden, Chris},
title = {Leadership solves collective action problems in small-scale societies},
volume = {370},
number = {1683},
year = {2015},
doi = {10.1098/rstb.2015.0010},
publisher = {The Royal Society},
abstract = {Observation of leadership in small-scale societies offers unique insights into the evolution of human collective action and the origins of sociopolitical complexity. Using behavioural data from the Tsimane forager-horticulturalists of Bolivia and Nyangatom nomadic pastoralists of Ethiopia, we evaluate the traits of leaders and the contexts in which leadership becomes more institutional. We find that leaders tend to have more capital, in the form of age-related knowledge, body size or social connections. These attributes can reduce the costs leaders incur and increase the efficacy of leadership. Leadership becomes more institutional in domains of collective action, such as resolution of intragroup conflict, where collective action failure threatens group integrity. Together these data support the hypothesis that leadership is an important means by which collective action problems are overcome in small-scale societies.},
issn = {0962-8436},
URL = {http://rstb.royalsocietypublishing.org/content/370/1683/20150010},
eprint = {http://rstb.royalsocietypublishing.org/content/370/1683/20150010.full.pdf},
journal = {Philosophical Transactions of the Royal Society of London B: Biological Sciences}
}
@article {Gilby:2015,
author = {Gilby, Ian C. and Machanda, Zarin P. and Mjungu, Deus C. and Rosen, Jeremiah and Muller, Martin N. and Pusey, Anne E. and Wrangham, Richard W.},
title = {{\textquoteleft}Impact hunters{\textquoteright} catalyse cooperative hunting in two wild chimpanzee communities},
volume = {370},
number = {1683},
year = {2015},
doi = {10.1098/rstb.2015.0005},
publisher = {The Royal Society},
abstract = {Even when hunting in groups is mutually beneficial, it is unclear how communal hunts are initiated. If it is costly to be the only hunter, individuals should be reluctant to hunt unless others already are. We used 70 years of data from three communities to examine how male chimpanzees {\textquoteleft}solve{\textquoteright} this apparent collective action problem. The {\textquoteleft}impact hunter{\textquoteright} hypothesis proposes that group hunts are sometimes catalysed by certain individuals that hunt more readily than others. In two communities (Kasekela and Kanyawara), we identified a total of five males that exhibited high hunt participation rates for their age, and whose presence at an encounter with red colobus monkeys increased group hunting probability. Critically, these impact hunters were observed to hunt first more often than expected by chance. We argue that by hunting first, these males dilute prey defences and create opportunities for previously reluctant participants. This by-product mutualism can explain variation in group hunting rates within and between social groups. Hunting rates declined after the death of impact hunter FG in Kasekela and after impact hunter MS stopped hunting frequently in Kanyawara. There were no impact hunters in the third, smaller community (Mitumba), where, unlike the others, hunting probability increased with the number of females present at an encounter with prey.},
issn = {0962-8436},
URL = {http://rstb.royalsocietypublishing.org/content/370/1683/20150005},
eprint = {http://rstb.royalsocietypublishing.org/content/370/1683/20150005.full.pdf},
journal = {Philosophical Transactions of the Royal Society of London B: Biological Sciences}
}
@inproceedings{Bakshy:2011:EIQ:1935826.1935845,
author = {Bakshy, Eytan and Hofman, Jake M. and Mason, Winter A. and Watts, Duncan J.},
title = {Everyone's an Influencer: Quantifying Influence on Twitter},
booktitle = {Proceedings of the Fourth ACM International Conference on Web Search and Data Mining},
series = {WSDM '11},
year = {2011},
isbn = {978-1-4503-0493-1},
location = {Hong Kong, China},
pages = {65--74},
numpages = {10},
url = {http://doi.acm.org/10.1145/1935826.1935845},
doi = {10.1145/1935826.1935845},
acmid = {1935845},
publisher = {ACM},
address = {New York, NY, USA},
keywords = {communication networks, diffusion, influence, twitter, word of mouth marketing},
}
@article{Song2014crowdmodel,
author = {Wu, Song AND Sun, Quanbin},
journal = {PLOS ONE},
publisher = {Public Library of Science},
title = {Computer Simulation of Leadership, Consensus Decision Making and Collective Behaviour in Humans},
year = {2014},
month = {01},
volume = {9},
url = {https://doi.org/10.1371/journal.pone.0080680},
pages = {1-12},
abstract = {The aim of this study is to evaluate the reliability of a crowd simulation model developed by the authors by reproducing Dyer et al.'s experiments (published in Philosophical Transactions in 2009) on human leadership and consensus decision making in a computer-based environment. The theoretical crowd model of the simulation environment is presented, and its results are compared and analysed against Dyer et al.'s original experiments. It is concluded that the simulation results are largely consistent with the experiments, which demonstrates the reliability of the crowd model. Furthermore, the simulation data also reveals several additional new findings, namely: 1) the phenomena of sacrificing accuracy to reach a quicker consensus decision found in ants colonies was also discovered in the simulation; 2) the ability of reaching consensus in groups has a direct impact on the time and accuracy of arriving at the target position; 3) the positions of the informed individuals or leaders in the crowd could have significant impact on the overall crowd movement; and 4) the simulation also confirmed Dyer et al.'s anecdotal evidence of the proportion of the leadership in large crowds and its effect on crowd movement. The potential applications of these findings are highlighted in the final discussion of this paper.},
number = {1},
doi = {10.1371/journal.pone.0080680}
}
@article{Heinsohn1260,
ISSN = {00368075, 10959203},
URL = {http://www.jstor.org/stable/2888011},
abstract = {Female lions (Panthera leo) showed persistent individual differences in the extent to which they participated in group-territorial conflict. When intergroup encounters were simulated by playback of aggressive vocalizations, some individuals consistently led the approach to the recorded intruder, whereas others lagged behind and avoided the risks of fighting. The lead females recognized that certain companions were laggards but failed to punish them, which suggests that cooperation is not maintained by reciprocity. Modification of the "odds" in these encounters revealed that some females joined the group response when they were most needed, whereas other lagged even farther behind. The complexity of these responses emphasizes the great diversity of individual behavior in this species and the inadequacy of current theory to explain cooperation in large groups.},
author = {Robert Heinsohn and Craig Packer},
journal = {Science},
number = {5228},
pages = {1260-1262},
publisher = {American Association for the Advancement of Science},
title = {Complex Cooperative Strategies in Group-Territorial African Lions},
volume = {269},
year = {1995}
}
@article{Weinstein:1997,
ISSN = {00301299, 16000706},
URL = {http://www.jstor.org/stable/3546887},
abstract = {Australian sawflies in the genus Perga have gregarious larvae which disperse to feed upon Eucalyptus foliage at night. To investigate possible polyethism in the larvae of P. dorsalis, we labelled individuals with oil paints and recorded their positions on consecutive nights. A subgroup of about 20% of the larvae preferentially occupied the outer positions in the resting colony and appeared to lead the foraging expeditions. Marking itself did not induce this leadership behaviour, and leaders were quick to regain outer positions if removed and placed in the centre of the colony. In the context of polyethism in pergid larvae, we discuss the non-viability of small colonies, differential attack rates by parasitoids and predators, petiole-chewing behaviour by leaders, and possible differences in the dispersal behaviour of larvae (in time) and adults (in space).},
author = {P. Weinstein and D. A. Maelzer},
journal = {Oikos},
number = {3},
pages = {450-455},
publisher = {[Nordic Society Oikos, Wiley]},
title = {Leadership Behaviour in Sawfly Larvae Perga dorsalis (Hymenoptera: Pergidae)},
volume = {79},
year = {1997}
}
@article{Conradt:2003aa,
title={Group decision-making in animals},
author={Conradt, Larissa and Roper, Timothy J},
journal={Nature},
volume={421},
number={6919},
pages={155--158},
year={2003},
publisher={Nature Publishing Group}
}
@article{Stewart:1947aa,
title={Lack of correlation between leadership and dominance relationships in a herd of goats.},
author={Stewart, Jeannie C and Scott, JP},
journal={Journal of comparative and physiological psychology},
volume={40},
number={4},
pages={255},
year={1947},
publisher={American Psychological Association}
}
@inproceedings{PhamICDE2016,
author={H. Pham and C. Shahabi},
booktitle={ICDE16},
title={Spatial influence - measuring followship in the real world},
year={2016},
pages={529-540},
doi={10.1109/ICDE.2016.7498268},
month={May}
}
@misc{FLICAwebsite,
title = {FLICA: A Framework for Leader Identification in Coordinated Activity website},
author={Amornbunchornvej, C. and Brugere, I.},
year = 2017,
howpublished ={{ https://uofi.box.com/s/a831rujfflf5cez8xfwks4p7w9gkzq7v}},
note = {Accessed: 2017-05-26}
}
@book{holme2014temporal,
title={Temporal networks},
author={Holme, Petter},
year={2014},
publisher={Springer}
}
@article{jacoby2016inferring,
title={Inferring animal social networks and leadership: applications for passive monitoring arrays},
author={Jacoby, David MP and Papastamatiou, Yannis P and Freeman, Robin},
journal={Journal of The Royal Society Interface},
volume={13},
number={124},
pages={20160676},
year={2016},
publisher={The Royal Society}
}
@article{krause2000leadership,
title={Leadership in fish shoals},
author={Krause, J and Hoare, D and Krause, S and Hemelrijk, CK and Rubenstein, DI},
journal={Fish and Fisheries},
volume={1},
number={1},
pages={82--89},
year={2000},
publisher={Wiley Online Library}
}
@article{malone1994interdisciplinary,
title={The interdisciplinary study of coordination},
author={Malone, Thomas W and Crowston, Kevin},
journal={ACM Computing Surveys (CSUR)},
volume={26},
number={1},
pages={87--119},
year={1994},
publisher={ACM}
}
@article{glowacki2015leadership,
title={Leadership solves collective action problems in small-scale societies},
author={Glowacki, Luke and von Rueden, Chris},
journal={Phil. Trans. R. Soc. B},
volume={370},
number={1683},
pages={20150010},
year={2015},
publisher={The Royal Society}
}
@article{gilby2015impact,
title={‘Impact hunters’ catalyse cooperative hunting in two wild chimpanzee communities},
author={Gilby, Ian C and Machanda, Zarin P and Mjungu, Deus C and Rosen, Jeremiah and Muller, Martin N and Pusey, Anne E and Wrangham, Richard W},
journal={Phil. Trans. R. Soc. B},
volume={370},
number={1683},
pages={20150005},
year={2015},
publisher={The Royal Society}
}
@article{couzin2005effective,
title={Effective leadership and decision-making in animal groups on the move},
author={Couzin, Iain D and Krause, Jens and Franks, Nigel R and Levin, Simon A},
journal={Nature},
volume={433},
number={7025},
pages={513--516},
year={2005},
publisher={Nature Publishing Group}
}
@article{calvert1992leadership,
title={Leadership and its basis in problems of social coordination},
author={Calvert, Randall},
journal={International Political Science Review},
volume={13},
number={1},
pages={7--24},
year={1992},
publisher={Sage Publications}
}
@article{hogg2001social,
title={A social identity theory of leadership},
author={Hogg, Michael A},
journal={Personality and social psychology review},
volume={5},
number={3},
pages={184--200},
year={2001},
publisher={Sage Publications}
}
@article{Smith2015187,
title={Collective movements, leadership and consensus costs at reunions in spotted hyaenas},
author={Smith, Jennifer E and Estrada, Jillian R and Richards, Heather R and Dawes, Stephanie E and Mitsos, Kari and Holekamp, Kay E},
journal={Animal Behaviour},
volume={105},
pages={187--200},
year={2015},
publisher={Elsevier}
}
@article {Dyer:2009aa,
author = {Dyer, John R.G and Johansson, Anders and Helbing, Dirk and Couzin, Iain D and Krause, Jens},
title = {Leadership, consensus decision making and collective behaviour in humans},
volume = {364},
number = {1518},
pages = {781--789},
year = {2009},
doi = {10.1098/rstb.2008.0233},
publisher = {The Royal Society},
abstract = {This paper reviews the literature on leadership in vertebrate groups, including recent work on human groups, before presenting the results of three new experiments looking at leadership and decision making in small and large human groups. In experiment 1, we find that both group size and the presence of uninformed individuals can affect the speed with which small human groups (eight people) decide between two opposing directional preferences and the likelihood of the group splitting. In experiment 2, we show that the spatial positioning of informed individuals within small human groups (10 people) can affect the speed and accuracy of group motion. We find that having a mixture of leaders positioned in the centre and on the edge of a group increases the speed and accuracy with which the group reaches their target. In experiment 3, we use large human crowds (100 and 200 people) to demonstrate that the trends observed from earlier work using small human groups can be applied to larger crowds. We find that only a small minority of informed individuals is needed to guide a large uninformed group. These studies build upon important theoretical and empirical work on leadership and decision making in animal groups.},
issn = {0962-8436},
URL = {http://rstb.royalsocietypublishing.org/content/364/1518/781},
eprint = {http://rstb.royalsocietypublishing.org/content/364/1518/781.full.pdf},
journal = {Philosophical Transactions of the Royal Society of London B: Biological Sciences}
}
@inproceedings{goyal2008discovering,
author = {Goyal, Amit and Bonchi, Francesco and Lakshmanan, Laks V.S.},
title = {Discovering Leaders from Community Actions},
booktitle = {Proceedings of the 17th ACM Conference on Information and Knowledge Management},
series = {CIKM '08},
year = {2008},
isbn = {978-1-59593-991-3},
location = {Napa Valley, California, USA},
pages = {499--508},
numpages = {10},
url = {http://doi.acm.org/10.1145/1458082.1458149},
doi = {10.1145/1458082.1458149},
acmid = {1458149},
publisher = {ACM},
address = {New York, NY, USA},
keywords = {frequent pattern discovery, influence, leadership, social networks, tribes, viral marketing},
}
@inproceedings{He2016maximizing,
title={Robust Influence Maximization},
author={He, Xinran and Kempe, David},
booktitle={Proceedings of the ninth ACM SIGKDD},
pages={1--10},
year={2016},
organization={ACM}
}
@incollection{carmi2013inferring,
title={Inferring leadership from group dynamics using Markov Chain Monte Carlo methods},
author={Carmi, Avishy Y and Mihaylova, Lyudmila and Septier, Fran{\c{c}}ois and Pang, Sze Kim and Gurfil, Pini and Godsill, Simon J},
booktitle={Modeling, Simulation and Visual Analysis of Crowds},
pages={325--346},
year={2013},
publisher={Springer}
}
@article{will2016flock,
title={Flock leadership: Understanding and influencing emergent collective behavior},
author={Will, Thomas E},
journal={The Leadership Quarterly},
volume={27},
number={2},
pages={261--279},
year={2016},
publisher={Elsevier}
}
@article{partialOrder,
ISSN = {00029327, 10806377},
URL = {http://www.jstor.org/stable/2371374},
author = {Ben Dushnik, E. W. Miller},
journal = {American Journal of Mathematics},
number = {3},
pages = {600-610},
publisher = {Johns Hopkins University Press},
title = {Partially Ordered Sets},
volume = {63},
year = {1941}
}
@article{flica,
title={FLICA: A Framework for Leader Identification in Coordinated Activity},
author={Amornbunchornvej, Chainarong and Brugere, Ivan and Strandburg-Peshkin, Ariana and Farine, Damien and Crofoot, Margaret C and Berger-Wolf, Tanya Y},
journal={arXiv preprint arXiv:1603.01570},
year={2016}
}
@article{Wu2014crowdmodel,
title={Computer simulation of leadership, consensus decision making and collective behaviour in humans},
author={Wu, Song and Sun, Quanbin},
journal={PloS one},
volume={9},
number={1},
pages={e80680},
year={2014},
publisher={Public Library of Science}
}
% ======================PhD Level =================================
@article{sakoe1978dynamic,
title={Dynamic programming algorithm optimization for spoken word recognition},
author={Sakoe, Hiroaki and Chiba, Seibi},
journal={IEEE transactions on acoustics, speech, and signal processing},
volume={26},
number={1},
pages={43--49},
year={1978},
publisher={IEEE}
}
@article{dau2016semi,
title={Semi-Supervision Dramatically Improves Time Series Clustering under Dynamic Time Warping},
author={Dau, Hoang Anh and Keogh, Nurjahan Begum Eamonn},
booktitle={CIKM'16},
year={2016}
}
@inproceedings{doi:10.1137/1.9781611974010.33,
author={Shokoohi-Yekta, M and Wang, J and Keogh, E},
title={On the Non-Trivial Generalization of Dynamic Time Warping to the
Multi-Dimensional Case},
booktitle={SDM'15},
pages={289--297}
}
% ============== SDM 2017 ================
%[1]
@article{andersson2008reporting,
title={Reporting leaders and followers among trajectories of moving point objects},
author={Andersson, Mattias and Gudmundsson, Joachim and Laube, Patrick and Wolle, Thomas},
journal={GeoInformatica},
volume={12},
number={4},
pages={497--528},
year={2008},
publisher={Springer}
}
%[2]
@inproceedings{kjargaard2013time,
title={Time-lag method for detecting following and leadership behavior of pedestrians from mobile sensing data},
author={Kjargaard, Mikkel Baun and Blunck, Henrik and Wustenberg, Markus and Gronbask, Kaj and Wirz, Martin and Roggen, Daniel and Troster, Gerhard},
booktitle={Proceedings of the IEEE PerCom},
pages={56--64},
year={2013},
organization={IEEE}
}
%[3]
@inproceedings{solera2015learning,
title={Learning to identify leaders in crowd},
author={Solera, Francesco and Calderara, Simone and Cucchiara, Rita},
booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops},
pages={43--48},
year={2015}
}
%[4]
@techreport{PageRank_Brin1998107,
number = {1999-66},
month = {November},
author = {Lawrence Page and Sergey Brin and Rajeev Motwani and Terry Winograd},
title = {The PageRank Citation Ranking: Bringing Order to the Web.},
type = {Technical Report},
publisher = {Stanford InfoLab},
year = {1999},
institution = {Stanford InfoLab},
url = {http://ilpubs.stanford.edu:8090/422/},
}
%[5]
@article{dumont2005consistency,
title={Consistency of animal order in spontaneous group movements allows the measurement of leadership in a group of grazing heifers},
author={Dumont, B and Boissy, A and Achard, C and Sibbald, AM and Erhard, HW},
journal={Applied Animal Behaviour Science},
volume={95},
number={1},
pages={55--66},
year={2005},
publisher={Elsevier}
}
%[6]
@article{peterson2002leadership,
title={Leadership behavior in relation to dominance and reproductive status in gray wolves, Canis lupus},
author={Peterson, Rolf O and Jacobs, Amy K and Drummer, Thomas D and Mech, L David and Smith, Douglas W},
journal={Canadian Journal of Zoology},
volume={80},
number={8},
pages={1405--1412},
year={2002},
publisher={NRC Research Press}
}
%[7]
@article{stueckle2008follow,
title={To follow or not to follow: decision making and leadership during the morning departure in chacma baboons},
author={Stueckle, Sabine and Zinner, Dietmar},
journal={Animal Behaviour},
volume={75},
number={6},
pages={1995--2004},
year={2008},
publisher={Elsevier}
}
%[8]
@book{le1897crowd,
title={The crowd: A study of the popular mind},
author={Le Bon, Gustave},
year={1897},
publisher={Fischer}
}
%[9]
@inproceedings{goyal2010learning,
title={Learning influence probabilities in social networks},
author={Goyal, Amit and Bonchi, Francesco and Lakshmanan, Laks VS},
booktitle={Proceedings of the third ACM international conference on Web search and data mining},
pages={241--250},
year={2010},
organization={ACM}
}
%[10]
@book{benkert2006reporting,
title={Reporting flock patterns},
author={Benkert, Marc and Gudmundsson, Joachim and H{\"u}bner, Florian and Wolle, Thomas},
year={2006},
publisher={Springer}
}
% [11] ***
@article{keogh2005exact,
title={Exact indexing of dynamic time warping},
author={Keogh, Eamonn and Ratanamahatana, Chotirat Ann},
journal={Knowledge and information systems},
volume={7},
number={3},
pages={358--386},
year={2005},
publisher={Springer}
}
%[12]
@article{ranacher2014compare,
title={How to compare movement? A review of physical movement similarity measures in geographic information science and beyond},
author={Ranacher, Peter and Tzavella, Katerina},
journal={Cartography and Geographic Information Science},
volume={41},
number={3},
pages={286--307},
year={2014},
publisher={Taylor \& Francis}
}
%[13] ***
@article{lemire2009faster,
title={Faster retrieval with a two-pass dynamic-time-warping lower bound},
author={Lemire, Daniel},
journal={Pattern recognition},
volume={42},
number={9},
pages={2169--2180},
year={2009},
publisher={Elsevier}
}
%[14] **
@incollection{jeung2011trajectory,
title={Trajectory pattern mining},
author={Jeung, Hoyoung and Yiu, Man Lung and Jensen, Christian S},
booktitle={Computing with spatial trajectories},
pages={143--177},
year={2011},
publisher={Springer}
}
%[15]
@book{de1903laws,
title={The laws of imitation},
author={De Tarde, Gabriel},
year={1903},
publisher={H. Holt}
}
%[16]
@article{mccomb2011leadership,
title={Leadership in elephants: the adaptive value of age},
author={McComb, Karen and Shannon, Graeme and Durant, Sarah M and Sayialel, Katito and Slotow, Rob and Poole, Joyce and Moss, Cynthia},
journal={Proceedings of the Royal Society of London B: Biological Sciences},
pages={rspb20110168},
year={2011},
publisher={The Royal Society}
}
%[17]
@article{king2008dominance,
title={Dominance and affiliation mediate despotism in a social primate},
author={King, Andrew J and Douglas, Caitlin MS and Huchard, Elise and Isaac, Nick JB and Cowlishaw, Guy},
journal={Current Biology},
volume={18},
number={23},
pages={1833--1838},
year={2008},
publisher={Elsevier}
}
%[18]
@article{maransky2001follow,
title={Follow your elders: Age-related differences in the migration behavior of Broad-winged Hawks at Hawk Mountain Sanctuary, Pennsylvania},
author={Maransky, Bryan P and Bildstein, Keith L},
journal={The Wilson Bulletin},
volume={113},
number={3},
pages={350--353},
year={2001},
publisher={BioOne}
}
%[19]
@article{wright2003communal,
title={Communal roosts as structured information centres in the raven, Corvus corax},