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Bode, N.W.F.; Wood, A.J.; Franks, D.W. |
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Title  |
The impact of social networks on animal collective motion |
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Journal Article |
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Year |
2011 |
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Animal Behaviour |
Abbreviated Journal |
Anim. Behav. |
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82 |
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1 |
Pages |
29-38 |
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Keywords |
collective motion; group cohesion; group position; hierarchical dynamics; social network |
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Abstract |
Many group-living animals show social preferences for relatives, familiar conspecifics or individuals of similar attributes such as size, personality or sex. How such preferences could affect the collective motion of animal groups has been rather unexplored. We present a general model of collective animal motion that includes social connections as preferential reactions between individuals. Our conceptual examples illustrate the possible impact of underlying social networks on the collective motion of animals. Our approach shows that the structure of these networks could influence: (1) the cohesion of groups; (2) the spatial position of individuals within groups; and (3) the hierarchical dynamics within such groups. We argue that the position of individuals within a social network and the social network structure of populations could have important fitness implications for individual animals. Counterintuitive results from our conceptual examples show that social structures can result in unexpected group dynamics. This sharpens our understanding of the way in which collective movement can be interpreted as a result of social interactions. |
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0003-3472 |
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Equine Behaviour @ team @ |
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5393 |
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Boogert, N.J.; Reader, S.M.; Hoppitt, W.; Laland, K.N. |
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Title |
The origin and spread of innovations in starlings |
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Journal Article |
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Year |
2008 |
Publication |
Animal Behaviour |
Abbreviated Journal |
Anim. Behav. |
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Volume |
75 |
Issue |
4 |
Pages |
1509-1518 |
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Keywords |
diffusion dynamics; dominance; foraging; group; innovation; neophobia; social learning; social network; starling; Sturnus vulgaris |
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There are numerous reports of novel learned behaviour patterns in animal populations, yet the factors influencing the invention and spread of these innovations remain poorly understood. Here we investigated to what extent the pattern of spread of innovations in captive groups of starlings, Sturnus vulgaris, could be predicted by knowledge of individual and social group variables, including association patterns, social rank orders, measures of neophobia and asocial learning performance. We presented small groups of starlings with a series of novel extractive foraging tasks and recorded the latency for each bird to contact and solve each task, as well as the orders of contacting and solving. We then explored which variables best predicted the observed diffusion patterns. Object neophobia and social rank measures characterized who was the first of the group to contact the novel foraging tasks, and the subsequent spread of contacting tasks was associated with latency to feed in a novel environment. Asocial learning performance, measured in isolation, predicted who was the first solver of the novel foraging tasks in each group. Association patterns did not predict the spread of solving. Contact latency and solving duration were negatively correlated, consistent with social learning underlying the spread of solving. Our findings indicate that we can improve our understanding of the diffusion dynamics of innovations in animal groups by investigating group-dependent and individual variables in combination. We introduce novel methods for exploring predictors of the origin and spread of behavioural innovations that could be widely applied. |
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0003-3472 |
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Equine Behaviour @ team @ |
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6036 |
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Newman, M.E.J. |
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Title |
The Structure and Function of Complex Networks |
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Year |
2003 |
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SIAM Review |
Abbreviated Journal |
SIAM Rev. |
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45 |
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2 |
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167-256 |
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networks; graph theory; complex systems; computer networks; social networks; random graphs; percolation theory |
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Inspired by empirical studies of networked systems such as the Internet, social networks, and biological networks, researchers have in recent years developed a variety of techniques and models to help us understand or predict the behavior of these systems. Here we review developments in this field, including such concepts as the small-world effect, degree distributions, clustering, network correlations, random graph models, models of network growth and preferential attachment, and dynamical processes taking place on networks. |
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Siam |
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Equine Behaviour @ team @ |
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5214 |
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Author |
Schneider, G.; Krueger, K. |
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Title |
Third-party interventions keep social partners from exchanging affiliative interactions with others |
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Year |
2012 |
Publication |
Animal Behaviour |
Abbreviated Journal |
Anim. Behav. |
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Volume |
83 |
Issue |
2 |
Pages |
377-387 |
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Keywords |
Equus caballus; horse; rank; social bond; social network; third-party intervention |
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Third-party interventions are defined as the interruption of dyadic interactions by third animals through direct physical contact, interposing or threats. Previous studies focused on the analysis of interventions against agonistic encounters. However, there have been no evaluations of interventions against affiliative behaviours, particularly in relation to the intervening animal�s social relationships and its social and spatial position. Horses, Equus caballus, are an interesting model species, as interventions against affiliative interactions occur more frequently than against agonistic interactions. In this study, 64 feral horses displayed 67 interventions in affiliative interactions and eight interventions in agonistic interactions within the observation period. We analysed the interventions in affiliative encounters, and found that it was mainly higher-ranking females that intervened in the affiliative interactions of group mates in the stable horse harems. The intervening animals took an active part in affiliative and agonistic encounters within the group, but did not occupy particular social roles or spatial positions. They intervened in affiliative interactions in which group mates with which they had social bonds interacted with other members of the group. They targeted the nonbonded animal and approached the one with which they were socially bonded. We suggest some species use third-party interventions in affiliative interactions to prevent competition for preferred social interaction partners from escalating into more costly agonistic encounters. |
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0003-3472 |
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Equine Behaviour @ team @ |
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5492 |
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