Social network analysis of animal behaviour: a promising tool for the study of sociality

Wey, Tina W.; Blumstein, Daniel T.; Sui, Weiwei; Jordán, Ferenc

doi:10.1016/j.anbehav.2007.06.020

Cited by 709 publications

(648 citation statements)

References 79 publications

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“…Even if our model did not test all factors having a potential influence on the structure of social relationships, it does show that the key characteristic of group cohesion and stability is group structure (Wey et al, 2008). It is interesting to note that the probability to find large group sizes decreases exponentially with group size in the context of stable groups after irreversible fission but also in fission fusion populations (Couzin and Laidre, 2009).…”

Section: Discussionmentioning

confidence: 88%

“…Indeed, previous studies reported that decreased groom ing time seems to have differing affects on an individual's social bonds: in the case of high within group competition, social bonds were mainly observed amongst kin, and an attraction was observed towards the highest ranking individuals (Berman et al, 2008;Majolo et al, 2008;Schino, 2001;Watts 2000a,b). We created the networks varying using UCINET 6.0 (Borgatti et al, 2002;Krause et al, 2007;Wey et al, 2008).…”

Section: Definitions Of Parametersmentioning

confidence: 99%

“…Group structure was analyzed using the social networking approach (Krause et al, 2007;Wasserman and Faust, 1994;Wey et al, 2008;Whitehead 2009). We used two indexes to determine a group structure.…”

Section: Group Structure Analysesmentioning

confidence: 99%

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Group size, grooming and fission in primates: A modeling approach based on group structure

Sueur

Deneubourg²,

Petit

et al. 2011

Journal of Theoretical Biology

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a b s t r a c tIn social animals, fission is a common mode of group proliferation and dispersion and may be affected by genetic or other social factors. Sociality implies preserving relationships between group members. An increase in group size and/or in competition for food within the group can result in decrease certain social interactions between members, and the group may split irreversibly as a consequence. One individual may try to maintain bonds with a maximum of group members in order to keep group cohesion, i.e. proximity and stable relationships. However, this strategy needs time and time is often limited. In addition, previous studies have shown that whatever the group size, an individual interacts only with certain grooming partners. There, we develop a computational model to assess how dynamics of group cohesion are related to group size and to the structure of grooming relationships. Groups' sizes after simulated fission are compared to observed sizes of 40 groups of primates. Results showed that the relationship between grooming time and group size is dependent on how each individual attributes grooming time to its social partners, i.e. grooming a few number of preferred partners or grooming equally or not all partners. The number of partners seemed to be more important for the group cohesion than the grooming time itself. This structural constraint has important consequences on group sociality, as it gives the possibility of competition for grooming partners, attraction for high ranking individuals as found in primates' groups. It could, however, also have implications when considering the cognitive capacities of primates.

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Section: Discussionmentioning

confidence: 88%

Section: Definitions Of Parametersmentioning

confidence: 99%

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Group size, grooming and fission in primates: A modeling approach based on group structure

Sueur

Deneubourg²,

Petit

et al. 2011

Journal of Theoretical Biology

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“…To achieve this goal, we integrate three methodological approaches: individual-based modeling (Kohler and Gumerman 2000;Grimm and Railsback 2005), social network analysis (Krause et al 2007;Whitehead 2008;Wey et al 2008), and phylogenetic comparative methods (Harvey and Pagel 1991;Nunn, 2011). We begin by presenting an agent-based susceptible-infectious-resistant (SIR) model to simulate the spread of infections across a sample of artificial networks that differ in network connectivity.…”

Section: Introductionmentioning

confidence: 99%

Community structure and the spread of infectious disease in primate social networks

2011

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“…associations and/or interactions) between individuals living near each other (Whitehead, 1997). Therefore, repeated interactions between individuals within a group can lead, for example, to the development of cooperative relations, dominance hierarchy or cultural transmission (Croft et al, 2006;Gilby & Wrangham, 2008;Wey, Blumstein, Shen, & Jordan, 2008). Social structure may also influence the biology of individuals or populations, for example by affecting individual fitness, gene flow or spatial distribution (Whitehead, 1997).…”

mentioning

confidence: 99%

Female mountain goats, Oreamnos americanus , associate according to kinship and reproductive status

2015

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Social network analysis of animal behaviour: a promising tool for the study of sociality

Cited by 709 publications

References 79 publications

Group size, grooming and fission in primates: A modeling approach based on group structure

Group size, grooming and fission in primates: A modeling approach based on group structure

Community structure and the spread of infectious disease in primate social networks

Female mountain goats, Oreamnos americanus , associate according to kinship and reproductive status

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