2021
DOI: 10.1111/eth.13151
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Social network analysis of small social groups: Application of a hurdle GLMM approach in the Alpine marmot (Marmota marmota)

Abstract: Social network analysis (SNA) has recently emerged as a fundamental tool to study animal behavior. While many studies have analyzed the relationship between environmental factors and behavior across large, complex animal populations, few have focused on species living in small groups due to limitations of the statistical methods currently employed. Some of the difficulties are often in comparing social structure across different sized groups and accounting for zero‐inflation generated by analyzing small social… Show more

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Cited by 6 publications
(2 citation statements)
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References 96 publications
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“…We explored the relationship between social control and female reproductive skew in a wild, free-living population of yellow-bellied marmots (Marmota flaviventris), a facultative social species [27][28][29] that live in matrilineal social groups (mother : daughter : sister groups) and exhibit a harem-polygynous mating system [30]. Social groups are composed of one or more adult males and females (>2 years old), yearlings (1 year old) and pups (<1 year old) [31].…”
Section: Methods (A) Study Systemmentioning
confidence: 99%
“…We explored the relationship between social control and female reproductive skew in a wild, free-living population of yellow-bellied marmots (Marmota flaviventris), a facultative social species [27][28][29] that live in matrilineal social groups (mother : daughter : sister groups) and exhibit a harem-polygynous mating system [30]. Social groups are composed of one or more adult males and females (>2 years old), yearlings (1 year old) and pups (<1 year old) [31].…”
Section: Methods (A) Study Systemmentioning
confidence: 99%
“…We fitted generalized linear mixed effect models (hereafter GLMM(s)), specifically Hurdle negative binomial GLMMs (Panaccio et al., 2021; Zhang, 2019) by using the glmmTMB package (Brooks et al., 2017) to analyse the counted activities, because of their skewed distribution. Hurdle negative binomial models are proposed to handle overdispersion and deal with zero inflation without discriminating between the zeros' origins (i.e.…”
Section: Methodsmentioning
confidence: 99%