Abstract
The social brain hypothesis postulates the increasing complexity of social interactions as a driving force for the evolution of cognitive abilities. Whereas dyadic and triadic relations play a basic role in defining social behaviours and pose many challenges for the social brain, individuals in animal societies typically belong to relatively large networks. How the structure and dynamics of these networks also contribute to the evolution of cognition, and vice versa, is less understood. Here we review how collective phenomena can occur in systems where social agents do not require sophisticated cognitive skills, and how complex networks can grow from simple probabilistic rules, or even emerge from the interaction between agents and their environment, without explicit social factors. We further show that the analysis of social networks can be used to develop good indicators of social complexity beyond the individual or dyadic level. We also discuss the types of challenges that the social brain must cope within structured groups, such as higher information fluxes, originating from individuals playing different roles in the network, or dyadic contacts of widely varying durations and frequencies. We discuss the relevance of these ideas for primates and other animals’ societies.
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References
Albert R, Jeong H, Barabási A-L (2000) Attack and error tolerance of complex networks. Nature 406:378–382
Arenas A, Díaz-Guilera A, Kurths J, Moreno Y, Zhou C (2008) Synchronization in complex networks. Phys Rep 469(3):93–153
Aureli F, Schaffner CM, Boesch C, Bearder SK, Call J, Chapman CA, Connor R, Di Fiore A, Dunbar RIM, Peter Henzi S, Holekamp K, Korstjens AH, Layton R, Lee P, Lehmann J, Manson JH, Ramos-Fernandez G, Strier KB, van Schaik CP (2008) Fission-fusion dynamics: new research frameworks [with comments]. Curr Anthropol 49(4):627
Ballerini M, Cabibbo N, Candelier R, Cavagna A et al (2008) Interaction ruling animal collective behavior depends on topological rather than metric distance: evidence from a field study. Proc Natl Acad Sci USA 105(4):1232–1237
Barabási A-L, Albert R (1999) Emergence of scaling in random networks. Science 286(5439):509–512
Barrett L, Henzi P, Rendall D (2007) Social brains, simple minds: does social complexity really require cognitive complexity? Philos Trans R Soc B 362:561–575
Barrett L, Henzi SP, Lusseau D (2012) Taking sociality seriously: the structure of multi-dimensional social networks as a source of information for individuals. Philos Trans R Soc Lond Ser B Biol Sci 367(1599):2108–2118
Bergman TJ, Beehner JC (2015) Measuring social complexity. Anim Behav 103:203–209
Bialek W, Cavagna A, Giardina I, Mora T et al (2014) Social interactions dominate speed control in poising natural flocks near criticality. Proc Natl Acad Sci USA 111(20):7212–7217
Bollobás B, Riordan O (2006) Percolation. Cambridge University Press, Cambridge
Bonabeau E, Theraulaz G, Deneubourg J-L, Aron S, Camazine S (1997) Self-organization in social insects. Trends Ecol Evol 12(5):188–193
Bonnell TR, Clarke PM, Henzi SP, Barrett L (2017) Individual-level movement bias leads to the formation of higher-order social structure in a mobile group of baboons. PeerJ Preprints 5:e2808v1
Brent LJ (2015) Friends of friends: are indirect connections in social networks important to animal behaviour? Anim Behav 103:211–222
Brent LJN, Franks DW, Foster EA, Balcomb KC, Cant MA, Croft DP (2015) Ecological knowledge, leadership, and the evolution of menopause in killer whales. Curr Biol 25:746–750
Camley BA, Zimmermann J, Levine H, Rappel W-J (2016) Emergent collective chemotaxis without single-cell gradient sensing. Phys Rev Lett 116:098101
Cavagna A, Cimarelli A, Giardina I, Parisi G, Santagati R, Stefanini F, Viale M (2010) Scale-free correlations in starling flocks. Proc Natl Acad Sci USA 107(26):11865–11870
Cheney DL, Seyfarth RM (1990) How monkeys see the world: inside the mind of another species. University of Chicago Press, Chicago
Costa LDF, Rodrigues FA, Travieso G, Villas Boas PR (2007) Characterization of complex networks: a survey of measurements. Adv Phys 56(1):167–242
Couzin ID, Krause J, James R, Ruxtony GD, Franks NR (2002) Collective memory and spatial sorting in animal groups. J Theor Biol 218:1–11
Couzin ID, Krause J, Franks NR, Levin SA (2005) Effective leadership and decision-making in animal groups on the move. Nature 433:513–516
Deneubourg JL, Goss S (1989) Collective patterns and decision-making. Ethol Ecol Evol 1:295–311
Di Pellegrino G, Fadiga L, Fogassi L, Gallese V, Rizzolatti G (1992) Understanding motor events: a neurophysiological study. Exp Brain Res 91:176–180
Dostie MJ, Lusseau D, Bonnell T, Clarke PMR, Chaplin G, Kienzle S, Barrett L, Henzi SP (2016) Proof of principle: the adaptive geometry of social foragers. Anim Behav 119:173–178
Dunbar RIM (1988) Primate social systems. Chapman & Hall, London, UK
Flack JC (2012) Multiple time-scales and the developmental dynamics of social systems. Philos Trans R Soc B 367:1802–1810
Flack JC, Girvan M, de Waal FBM, Krakauer DC (2006) Policing stabilizes construction of social niches in primates. Nature 439:426–429
Gallese V, Goldman A (1998) Mirror neurons and the simulation theory of mind-reading. Trends Cogn Sci 2:493–501
Gao J, Barzel B, Barabási AL (2016) Universal resilience patterns in complex networks. Nature 530:307–312
Getz WM, Saltz D (2008) A framework for generating and analyzing movement paths on ecological landscapes. Proc Natl Acad Sci USA 105(49):19066–19071
Ginelli F, Peruani F, Pillot M-H, Chaté H, Theraulaz T, Bon R (2015) Intermittent collective dynamics emerge from conflicting imperatives in sheep herds. Proc Natl Acad Sci USA 112:12729–12734
Hemelrijk CK (1999) An individual-orientated model of the emergence of despotic and egalitarian societies. Proc R Soc B Biol Sci 266(1417):361–369
Hemelrijk CK (2002) Understanding social behaviour with the help of complexity science (invited article). Ethology 108(8):655–671
Hemelrijk CK (2013) Simulating complexity of animal social behaviour. In: Edmonds B, Meyer R (eds) Simulating social complexity: understanding complex systems. Springer-Verlag, Berlin, pp 581–615
Hogeweg P, Hesper B (1983) The ontogeny of the interaction structure in bumble bee colonies: a MIRROR model. Behav Ecol Sociobiol 12:271–283
Humphrey N (1976) The social function of intellect. In: Bateson PPG, Hinde RA (eds) Growing points in ethology. Cambridge University Press, Cambridge, MA, pp 303–317
Jolly A (1966) Lemur social behaviour and primate intelligence. Science 153:501–506
Kanngiesser P, Sueur C, Riedl K, Grossmann J, Call J (2011) Grooming network cohesion and the role of individuals in a captive Chimpanzee group. Am J Primatol 73:758–767
King AJ, Sueur C, Huchard E, Cowlishaw G (2011) A rule-of-thumb based on social affiliation explains collective movements in desert baboons. Anim Behav 82:1337–1345
Krapivsky PL, Redner S, Leyvraz F (2000) Connectivity of growing random networks. Phys Rev Lett 85:4629–4632
Lusseau D, Newman MEJ (2004) Identifying the role that animals play in their social networks. Proc R Soc Lond B 271:S477–S481
Marcoux M, Lusseau D (2013) Network modularity promotes cooperation. J Theor Biol 324:103–108
Marsili M, Vega-Redondo F, Frantisek Slanina F (2004) The rise and fall of a networked society: a formal model. Proc Natl Acad Sci USA 101(6):1439–1442
Mason WA, Jones A, Goldstone RL (2008) Propagation of innovations in networked groups. J Exp Psychol 137(3):422–433
Milo R, Shen-Orr S, Itzkovitz S, Kashtan N, Chklovskii D, Alon U (2002) Network motifs: simple building blocks of complex networks. Science 298(5594):824–827
Mitani JC, Grether GF, Rodman PS, Priatna D (1991) Association among wild orang-utans: sociality, passive aggregations or chance? Anim Behav 42:33–46
Mokross K, Ryder TB, Correa Cortes M, Wolfe JD, Stouffer PC (2014) Decay of interspecific avian flock networks along a disturbance gradient in Amazonia. Proc R Soc B 281:20132599
Newman MEJ (2003) The structure and function of complex networks. SIAM Rev 45(2):167–256
Newman MEJ (2006) Modularity and community structure in networks. Proc Natl Acad Sci USA 103:8577–8582
Newman MEJ, Park J (2003) Why social networks are different from other types of networks. Phys Rev E 68:036122
Nowak MA, Sigmund K (1998) Evolution of indirect reciprocity by image scoring. Nature 393:573–577
Pastor-Satorras R, Castellano C, Van Mieghem P, Vespignani A (2015) Epidemic processes in complex networks. Rev Mod Phys 87:925–979
Pinter-Wollman N, Hobson EA, Smith JE, Edelman AJ et al (2014) The dynamics of animal social networks: analytical, conceptual, and theoretical advances. Behav Ecol 25(2):242–255
Ramos-Fernandez G, Boyer D, Gomez VP (2006) A complex social structure with fission-fusion properties can emerge from a simple foraging model. Behav Ecol Sociobiol 60:536–549
Santos FC, Pacheco JM (2005) Scale-free networks provide a unifying framework for the emergence of cooperation. Phys Rev Lett 95:098104
Silk JB, Alberts SC, Altmann J (2004) Patterns of coalition formation by adult female baboons in Amboseli, Kenya. Anim Behav 67:573–582
Smith JE, Van Horn RC, Powning KS, Cole AR, Graham KE, Memenis SK, Holekamp KE (2010) Evolutionary forces favoring intragroup coalitions among spotted hyenas and other animals. Behav Ecol 21:284–303
Strandburg-Peshkin A, Farine DR, Couzin ID, Crofoot MC (2015) Shared decision-making drives collective movement in wild baboons. Science 348:1358–1361
Sugardjito J, Te Boekhorst IJA, Van Hooff JARAM (1987) Ecological constraints on the grouping of wild orang-utans (Pongo pygmaeus) in the Gunung Leuser National Park, Sumatra, Indonesia. Int J Primatol 8:17–41
te Boekhorst IJ, Hogeweg P (1994) Effects of tree size on travelband formation in orang-utans: data analysis suggested by a model study. In: Brooks R, Maes P (eds) Artificial life IV. MIT Press, Cambridge, pp 119–129
Vicsek T, Czirok A, Ben-Jacob E, Cohen I, Shochet O (1995) Novel type of phase transition in a system of self-driven particles. Phys Rev Lett 75(6):1226–1229
Voelkl B, Kasper C (2009) Social structure of primate interaction networks facilitates the emergence of cooperation. Biol Lett 5(4):462–464
Wilson WG, Richards SA (2000) Consuming and grouping: resource-mediated aggregation. Ecol Lett 3:175–180
Acknowledgements
We acknowledge financial support from DGPA-PAPIIT grant IN105015, CONACYT grant 157656 and Instituto Politecnico Nacional. We thank Louise Barrett for fruitful comments on the manuscript.
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Boyer, D., Ramos-Fernandez, G. (2018). Contribution of Social Network Analysis and Collective Phenomena to Understanding Social Complexity and Cognition. In: Di Paolo, L.D., Di Vincenzo, F., De Petrillo, F. (eds) Evolution of Primate Social Cognition. Interdisciplinary Evolution Research, vol 5. Springer, Cham. https://doi.org/10.1007/978-3-319-93776-2_8
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