The effects of individual status and group performance on network ties among teammates in the National Basketball Association

Koster, Jeremy; Aven, Brandy

doi:10.1371/journal.pone.0196013

Cited by 18 publications

(14 citation statements)

References 60 publications

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“…7 In addition to the Social Relations Model that has been used by evolutionary anthropologists (e.g. [44]), there are related statistical models that permit the identification of block structures in social network data, including models that permit the inclusion of covariates (e.g. [45]).…”

Section: Endnotesmentioning

confidence: 99%

Kinship ties across the lifespan in human communities

Koster

Lukas

Nolin

et al. 2019

Phil. Trans. R. Soc. B

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A hypothesis for the evolution of long post-reproductive lifespans in the human lineage involves asymmetries in relatedness between young immigrant females and the older females in their new groups. In these circumstances, inter-generational reproductive conflicts between younger and older females are predicted to resolve in favour of the younger females, who realize fewer inclusive fitness benefits from ceding reproduction to others. This conceptual model anticipates that immigrants to a community initially have few kin ties to others in the group, gradually showing greater relatedness to group members as they have descendants who remain with them in the group. We examine this prediction in a cross-cultural sample of communities, which vary in their sex-biased dispersal patterns and other aspects of social organization. Drawing on genealogical and demographic data, the analysis provides general but not comprehensive support for the prediction that average relatedness of immigrants to other group members increases as they age. In rare cases, natal members of the community also exhibit age-related increases in relatedness. We also find large variation in the proportion of female group members who are immigrants, beyond simple traditional considerations of patrilocality or matrilocality, which raises questions about the circumstances under which this hypothesis of female competition are met. We consider possible explanations for these heterogenous results, and we address methodological considerations that merit increased attention for research on kinship and reproductive conflict in human societies. This article is part of the theme issue ‘The evolution of female-biased kinship in humans and other mammals’.

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Section: Endnotesmentioning

confidence: 99%

Kinship ties across the lifespan in human communities

Koster

Lukas

Nolin

et al. 2019

Phil. Trans. R. Soc. B

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“…We are aware of only very few papers that extend the classic SRM model to handle non-continuous responses, such as Koster and Leckie (2014) who used bivariate Poisson models for counts and Koster and Brandy (2018) who used bivariate probit models for binary responses.…”

Section: Relationship With Other Modelsmentioning

confidence: 99%

“…The SRM model has been most often used in social psychology (e.g., Kenny and Kashy, 1994), but is increasingly being used in other fields. A diverse set of examples include relationships in pharmacy and therapeutics hospital-committee decisionmaking (Bagozzi and Ascione, 2005), social media ties among basketball teammates (Koster and Brandy, 2018), and militarized interstate disputes (Dorff and Ward, 2013).…”

Section: Introductionmentioning

confidence: 99%

A Dyadic IRT Model

Gin¹,

Sim²,

Skrondal³

et al. 2019

Preprint

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We propose a dyadic Item Response Theory (dIRT) model for measuring interactions of pairs of individuals when the responses to items represent the actions (or behaviors, perceptions, etc.) of each individual (actor) made within the context of a dyad formed with another individual (partner). Examples of its use include the assessment of collaborative problem solving, or the evaluation of intra-team dynamics. The dIRT model generalizes both Item Response Theory (IRT) models for measurement and the Social Relations Model (SRM) for dyadic data. The responses of an actor when paired with a partner are modeled as a function of not only the actor's inclination to act and the partner's tendency to elicit that action, but also the unique relationship of the pair, represented by two directional, possibly correlated, interaction latent variables. Generalizations are discussed, such as accommodating triads or larger groups. Estimation is performed using Markov-chain Monte Carlo implemented in Stan, making it straightforward to extend the dIRT model in various ways. Specifically, we show how the basic dIRT model can be extended to accommodate latent regressions, multilevel settings with cluster-level random effects, as well as joint modeling of dyadic data and a distal outcome. A simulation study demonstrates that estimation performs well. We apply our proposed approach to speed-dating data and find new evidence of pairwise interactions between participants, describing a mutual attraction that is inadequately characterized by individual properties alone.

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“…In addition, there is often substantive interest in modeling not only the dyads from a single network but rather a collection of networks (Snijders 2016;Sweet et al 2013). For example, researchers may have data on the social networks of members of many different teams or groups (Joshi 2014;Koster and Aven 2018). In the context of an SRM, it is relatively straightforward to include an additional random effect that reflects variation in the network density among these teams or groups.…”

mentioning

confidence: 99%

“…These templates are available as Supplemental Files on the Open Science Framework, along with a tutorial that describes how to implement and interpret the models (https://osf.io/jkz5t). The tutorial includes case studies and analyses of several example data sets, which parallel the kinds of network data that are commonly encountered in social science research (Fowler 2006; Hoff 2018; Kennedy et al 2013; Koster and Aven 2018; Koster and Leckie 2014; Krackhardt 1999).…”

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confidence: 99%