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VanDierendonck, M.C.; de Vries, H.; Schilder, M.B.H.; Colenbrander, B.; Þorhallsdóttir, A.G. and Sigurjónsdóttir, H. |
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Title |
Interventions in social behaviour in a herd of mares and geldings |
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2009 |
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Applied Animal Behaviour Science |
Abbreviated Journal  |
Appl. Anim. Behav. Sci. |
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116 |
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1 |
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67-73 |
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Horses; Social relationships; Interventions; Mares; Geldings; Play; Allogrooming; Social network |
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Abstract |
Social dynamics and maintenance of social cohesion were studied by analysing social interventions in two groups of horses consisting of adult mares, their offspring, adult geldings and sub-adults. The animals were observed for a total of 1316 h. All relevant dyadic and triadic social interactions, including initial behaviour, possible intervention and outcome, were recorded. The main question was: do horses use interventions in affiliative interactions to safeguard their social network? Horses were significantly more likely to intervene in allogrooming or play interactions that involved a preferred partner. The stronger the preferred association in allogrooming, the higher the likelihood the intervener took over allogrooming with an initial dyad member. Interveners originating from two newly introduced groups (n = 3 and 5), intervened significantly more often when a member of their own group allogroomed with an unfamiliar horse. In play, no correlation with unfamiliarity was found. Overall, the intervening horses stopped more than half of the initial allogrooming interactions, and a third of all interactions. Therefore, social facilitation cannot sufficiently explain interference behaviour. This study shows that maintaining relationships with preferred partners is important to horses and has implications for equine husbandry and management. |
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0168-1591 |
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Equine Behaviour @ team @ |
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4766 |
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Krause, J.; Croft, D.; James, R. |
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Title |
Social network theory in the behavioural sciences: potential applications |
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2007 |
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Behavioral Ecology and Sociobiology |
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Behav. Ecol. Sociobiol. |
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62 |
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1 |
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15-27 |
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Social networks – Social organisation – Mate choice – Disease transmission – Information transfer – Cooperation |
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Abstract Social network theory has made major contributions to our understanding of human social organisation but has found relatively little application in the field of animal behaviour. In this review, we identify several broad research areas where the networks approach could greatly enhance our understanding of social patterns and processes in animals. The network theory provides a quantitative framework that can be used to characterise social structure both at the level of the individual and the population. These novel quantitative variables may provide a new tool in addressing key questions in behavioural ecology particularly in relation to the evolution of social organisation and the impact of social structure on evolutionary processes. For example, network measures could be used to compare social networks of different species or populations making full use of the comparative approach. However, the networks approach can in principle go beyond identifying structural patterns and also can help with the understanding of processes within animal populations such as disease transmission and information transfer. Finally, understanding the pattern of interactions in the network (i.e. who is connected to whom) can also shed some light on the evolution of behavioural strategies. |
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Equine Behaviour @ team @ |
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5171 |
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Briard, L.; Dorn, C.; Petit, O. |
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Personality and Affinities Play a Key Role in the Organisation of Collective Movements in a Group of Domestic Horses |
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2015 |
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Ethology |
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Ethology |
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121 |
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9 |
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888-902 |
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decision-making; equids; hierarchy; leadership; social network |
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Understanding how groups of individuals with different motives come to daily decisions about the exploitation of their environment is a key question in animal behaviour. While interindividual differences are often seen only as a threat to group cohesion, growing evidence shows that they may to some extent facilitate effective collective action. Recent studies suggest that personality differences influence how individuals are attracted to conspecifics and affect their behaviour as an initiator or a follower. However, most of the existing studies are limited to a few taxa, mainly social fish and arthropods. Horses are social herbivores that live in long-lasting groups and show identifiable personality differences between individuals. We studied a group of 38 individuals living in a 30-ha hilly pasture. Over 200 h, we sought to identify how far individual differences such as personality and affinity distribution affect the dynamic of their collective movements. First, we report that individuals distribute their relationships according to similar personality and hierarchical rank. This is the first study that demonstrates a positive assortment between unrelated individuals according to personality in a mammal species. Second, we measured individual propensity to initiate and found that bold individuals initiated more often than shy individuals. However, their success in terms of number of followers and joining duration did not depend on their individual characteristics. Moreover, joining process is influenced by social network, with preferred partners following each other and bolder individuals being located more often at the front of the movement. Our results illustrate the importance of taking into account interindividual behavioural differences in studies of social behaviours. |
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1439-0310 |
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Equine Behaviour @ team @ |
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6153 |
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Newman, M.E.J. |
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Title |
The Structure and Function of Complex Networks |
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2003 |
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SIAM Review |
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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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