Use of social network models to understand play partner choice strategies in three primate species

Lutz, Meredith C.; Ratsimbazafy, Jonah; Judge, Peter G.

doi:10.1007/s10329-018-00708-7

Cited by 17 publications

(17 citation statements)

References 71 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Edge width indicates the frequency of interactions. www.nature.com/scientificreports/ leo) 60 , Japanese macaques (Macaca fuscata) 61 , chimpanzees (Pan troglodytes) 62 , brown capuchins (Cebus apella) 30 , hamadryas baboons (Papio hamadryas) 30 , diademed sifaka (Propithecus diadema) 30 ). We studied the benefits of play fighting using dyadic contests as this scenario is highly controllable allowing balancing of opponents for sex and weight and avoiding the influence of other animals (e.g.…”

Section: Discussionmentioning

confidence: 99%

“…To date there has been a striking lack of use of social network analysis to quantify animal social play networks, although this work is now beginning (e.g. pigtail macaques ( Macaca nemestrina ) 59 , African lions ( Panthera leo ) 60 , Japanese macaques ( Macaca fuscata ) 61 , chimpanzees ( Pan troglodytes ) 62 , brown capuchins ( Cebus apella ) 30 , hamadryas baboons ( Papio hamadryas ) 30 , diademed sifaka ( Propithecus diadema ) 30 ).…”

Section: Discussionmentioning

confidence: 99%

“…This approach takes no account of the identity of the social partners but many studies show that dyads do not interact at random (e.g. 27 – 30 ). Furthermore, past efforts to quantify play assumed that engagement with each potential play partner would yield the same benefit, which is unlikely to be true.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Play fighting social networks do not predict injuries from later aggression

Turner

Weller

Camerlink

et al. 2020

Sci Rep

View full text Add to dashboard Cite

Early play fighting mimics later aggression in many species, and may, therefore, be expected to reduce costs from later aggressive interactions. Using social network analysis (SNA) the effect of a central play fighting network position on later skin lesions from aggression was assessed in domestic pigs. Piglets (n = 263) were kept in litter groups or socialised pre-weaning with another litter to enhance play fighting experience. Play fighting was recorded for 1.5 h per day over 6 days pre-weaning. Play fighting network centrality was quantified using measures of individual network position and entire network structure (degree, eigenvector, betweenness, clustering coefficient). Skin lesions from aggression were counted after a dyadic contest and at 24 h and 3 weeks following group mixing. Pigs with play fighting interactions with many partners experienced fewer lesions from the dyadic contest (in-degree, p = 0.01) and tended to received fewer lesions 3 weeks after group mixing (degree, p = 0.088) but no other play fighting centrality measures affected the number of lesions at any point. The benefits of play fighting were therefore limited to specific aggressive social contexts. The tendency of socialised piglets to play fight with non-littermates did not affect subsequent lesions. We advocate the use of SNA over approaches that only consider dyadic interactions to further our understanding of the influence of early social group interactions on later life experience.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Play fighting social networks do not predict injuries from later aggression

Turner

Weller

Camerlink

et al. 2020

Sci Rep

View full text Add to dashboard Cite

show abstract

“…Furthermore, questions of evolutionary importance surface in the study of social play. Particularly, because play is often regarded as a context for learning and practice for later serious adult interactions (Lutz et al 2019), juvenile play is rich in opportunities to study the contributions of juvenile behavior to adult reproductive success. Do individuals who play at high frequencies when young go on to be more successful in dominance and mating interactions (relative to juveniles who rarely play)?…”

Section: Future Considerationsmentioning

confidence: 99%

Considering Social Play in Primates: A Case Study in Juvenile Tibetan Macaques (Macaca thibetana)

Mayhew

Funkhouser

Wright

2019

The Behavioral Ecology of the Tibetan Macaque

View full text Add to dashboard Cite

Social play in animals has long intrigued ethologists, and current research in this field, especially pertaining to primates, has revealed that the behavioral lives of juveniles in particular are rich and behaviorally and socially complex. It is widely acknowledged that play contributes to the biological, social, and cognitive growth of juveniles, but the impact of this growth on fitness, future adult social relationships, or general social group experiences remains unknown. Comparative social play research can enhance our understanding of how play influences these variables critical to juvenile development and fitness. Comparisons across taxa with varying social organizations, e.g., Macaca spp., can further this understanding. In this chapter, we introduce the 2017 social play network of Yulingkeng A1 infant and juvenile Tibetan macaques (Macaca thibetana) and discuss how social play is organized in this species.

show abstract

“…Statistical techniques applied to social network analysis have greatly evolved in the last 10 years (Hoppitt and Laland 2013;Farine 2017;Finn et al 2017;Sosa 2018). Papers in this issue show that whilst it is commonly accepted now to use permutation tests to avoid interdependence of social data (Koyama and Aureli 2018; Kawazoe and Sosa 2018, Rodrigues and Boeving 2018), new tools have emerged to study the social positions of individuals inside their network (i.e., egocentric network; Grampp et al 2019), the multidimensional nature of networks (i.e., multiplex networks; Smith-Aguilar et al 2018) and their dynamics (e.g., through ERGMs, exponential random graphs models; Lutz et al 2019). Researchers are also increasingly using modeling to simulate social transmission of diseases or of information (based on network-based diffusion analysis, Wild and Hoppitt 2018) or to simulate network resilience through targeted deletion (Puga-Gonzalez et al 2018).…”

mentioning

confidence: 99%