2012
DOI: 10.1098/rsbl.2012.0536
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Proximity data-loggers increase the quantity and quality of social network data

Abstract: Social network analysis is an ideal quantitative tool for advancing our understanding of complex social behaviour. However, this approach is often limited by the challenges of accurately characterizing social structure and measuring network heterogeneity. Technological advances have facilitated the study of social networks, but to date, all such work has focused on large vertebrates. Here, we provide proof of concept for using proximity data-logging to quantify the frequency of social interactions, construct w… Show more

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Cited by 52 publications
(68 citation statements)
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“…Even though observations of a large number of mating events may be difficult, recent progress in designing technological tools monitoring the spatial proximity between individuals might help acquiring these data (Ryder et al . ). Second, when documenting the identity of candidate mates is impossible, analytical designs may employ haplotype‐based approaches, as these facilitate the use of population genetics tools which offer more possibilities to control for the genetic structure of the population.…”
Section: Discussionmentioning
confidence: 97%
“…Even though observations of a large number of mating events may be difficult, recent progress in designing technological tools monitoring the spatial proximity between individuals might help acquiring these data (Ryder et al . ). Second, when documenting the identity of candidate mates is impossible, analytical designs may employ haplotype‐based approaches, as these facilitate the use of population genetics tools which offer more possibilities to control for the genetic structure of the population.…”
Section: Discussionmentioning
confidence: 97%
“…We noted earlier that the effective detection range can be highly variable and is not always fully accounted for in many studies [29,50], suggesting further refinement of network weightings is needed as these methods develop. The current methodology proposed in this paper remains unvalidated and fine-scale, contact network data, such as that obtained from proximity loggers, are much needed to confirm the accuracy with which these techniques truly capture social associations in marine organisms [2,51]. Terrestrial studies have taught us that the reliability with which proximity networks capture social processes can be highly variable [52] and can influence how we interpret network structure [53].…”
Section: Discussionmentioning
confidence: 99%
“…Nevertheless, the simplest and most commonly used measure of parental effort continues to be the number of visits/unit time to the nest or per chick (correcting for brood size) as discussed above. It is generally difficult to collect large amounts of data for many individuals on these other components of provisioning effort, but this is becoming easier with developments in nest cameras (García-Navas and Sanz 2010; Stodola et al 2010), RFID tags (Mariette et al 2011), automated radio-tracking systems that can cover relatively large areas of habitat (Mitchell et al 2012;Ryder et al 2012), or accelerometers Spivey and Bishop 2013). Thus, the goal should be to take a multivariate approach to obtain an integrated measurement of individual variation in parental workload coupled with physiological analysis of these same individuals.…”
Section: Experimental Manipulation Of Workload In Free-livingmentioning
confidence: 99%