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Spurious inference when comparing networks [article]

Damien Farine, Lucy M Aplin
2019 bioRxiv   pre-print
Comparing networks is challenging. Social networks can be shaped by many factors. Failing to adequately consider non-social processes, including sampling artefacts, can lead to spurious conclusions about differences in social networks among groups. Here we demonstrate that incorrect application of statistical testing methods when comparing networks can generate very high rates of false positives. We then show that null models, specifically pre-network permutation tests, can control for
more » ... l differences in networks and substantially reduce rates of false positives.
doi:10.1101/619957 fatcat:if7l5bs4qnfdxbeudvgn6eiqla

How to characterise shared space use networks [article]

Klara M Wanelik, Damien R Farine
2019 bioRxiv   pre-print
Recent investigations into 91 networks based on co-occurrence data (Farine & Strandburg-Peshkin, 2015) and direct 92 observation methods (Davis, Crofoot, & Farine, 2018) have highlighted how networks are  ...  However, network construction remains a major challenge in many 53 systems because large numbers of observations are needed to construct meaningful networks 54 (Farine & Whitehead, 2015) .  ... 
doi:10.1101/839530 fatcat:w6cjwzhv5veyhbm6a5jxmvolce

Do Sigmoidal Acquisition Curves Indicate Conformity? [article]

Paul E Smaldino, Lucy M Aplin, Damien R Farine
2017 bioRxiv   pre-print
The potential for behaviours to spread via cultural transmission has profound implications for our understanding of social dynamics and evolution. Several studies have provided empirical evidence that local traditions can be maintained in animal populations via conformist learning (i.e. copying the majority). A conformist bias can be characterized by a sigmoidal relationship between a behavior's prevalence in the population and an individual's propensity to adopt that behavior. For this reason,
more » ... the presence of conformist learning in a population is often inferred from a sigmoidal acquisition curve in which the overall rate of adoption for the behavior is taken as the dependent variable. However, the validity of sigmoidal acquisition curves as evidence for conformist learning has recently been challenged by models suggesting that such curves can arise via alternative learning rules that do not involve conformity. We review these models, and find that the proposed alternative learning mechanisms either rely on faulty or unrealistic assumptions, or apply only in very specific cases. We therefore recommend that sigmoidal acquisition curves continue to be taken as evidence for conformist learning. Our paper also highlights the importance of understanding the generative processes of a model, rather than only focusing solely on the patterns produced. By studying these processes, our analysis suggests that current practices by empiricists have provided robust evidence for conformist transmission in both humans and non-human animals.
doi:10.1101/159038 fatcat:4iladluh3bbxbffnagk4og7cdm

Nepotism masks evidence for reciprocity in cooperation networks [article]

Gerald Carter, Gabriele Schino, Damien Farine
2018 bioRxiv   pre-print
Carter, Gabriele Schino, Damien Farine R code can be found here: https://doi.org/10.6084/m9.figshare.6072272.v2 Datasets can be found here: https://doi.org/10.6084/m9.figshare.6072254.v2 8 1 3 8 1  ...  2018b; Carter, Schino, 2 6 5 and Farine 2018a). 6 6 .  ... 
doi:10.1101/372516 fatcat:argpynu4hvbrnblpg2crry23my

Social information use shapes the coevolution of sociality and virulence [article]

Ben Ashby, Damien R Farine
2020 bioRxiv   pre-print
A potential reason for the lack of mixed social strategies in current theoretical studies is that they do not include assortative mixing (Farine 2014) .  ...  non-gregarious species or those that form pair bonds) while others have a greater number of interactions that may be more transient (e.g. herding behaviour or roaming individuals) (Couzin 2006; Silk et al. 2014; Farine  ... 
doi:10.1101/2020.10.02.323451 fatcat:t4gaocqlqjguxowz32aar2a6bm

Animal behavior facilitates eco-evolutionary dynamics [article]

Kiyoko M. Gotanda, Damien R. Farine, Claudius F. Kratochwil, Kate L. Laskowski, Pierre-Olivier Montiglio
2019 arXiv   pre-print
The mechanisms underlying eco-evolutionary dynamics (the feedback between ecological and evolutionary processes) are often unknown. Here, we propose that classical theory from behavioral ecology can provide a greater understanding of the mechanisms underlying eco-evolutionary dynamics, and thus improve predictions about the outcomes of these dynamics.
arXiv:1912.09505v1 fatcat:4ytgthe2brephoimkxooxs2ply

Social bet-hedging in vampire bats

Gerald G. Carter, Damien R. Farine, Gerald S. Wilkinson
2017 Biology Letters  
Helping kin or nonkin can provide direct fitness benefits, but helping kin also benefits indirect fitness. Why then should organisms invest in cooperative partnerships with nonkin, if kin relationships are available and more beneficial? One explanation is that a kin-limited support network is too small and risky. Even if additional weaker partnerships reduce immediate net cooperative returns, individuals extending cooperation to nonkin can maintain a larger social network which reduces the
more » ... tial costs associated with losing a primary cooperation partner. Just as financial or evolutionary bethedging strategies can reduce risk, investing in quantity of social relationships at the expense of relationship quality ('social bet-hedging') can reduce the risks posed by unpredictable social environments. Here, we provide evidence for social bet-hedging in food-sharing vampire bats. When we experimentally removed a key food-sharing partner, females that previously fed a greater number of unrelated females suffered a smaller reduction in food received. Females that invested in more nonkin bonds did not do better under normal conditions, but they coped better with partner loss. Hence, loss of a key partner revealed the importance of weaker nonkin bonds. Social bet-hedging can have important implications for social network structure by influencing how individuals form relationships.
doi:10.1098/rsbl.2017.0112 pmid:28539459 pmcid:PMC5454239 fatcat:44g7vb4jkrh3votthmmo3xjgzm

Costs dictate strategic investment in dominance interactions [article]

Tobit Dehnen, Danai Papageorgiou, Brendah Nyaguthii, Wismer Cherono, Julia Penndorf, Neeltje J. Boogert, Damien R Farine
2021 bioRxiv   pre-print
Vulturine guineafowl (Acryllium vulturinum) exhibit a range of aggressive (1-6) and submissive (7) (8) dyadic dominance interactions (see also Papageorgiou & Farine [33] Interaction categories: Three  ... 
doi:10.1101/2021.06.02.446695 fatcat:qedud3bwazastof66u6vwqccce

Beyond the dyad: uncovering higher-order structure within cohesive animal groups [article]

Federico Musciotto, Danai Papageorgiou, Federico Battiston, Damien R. Farine
2022 bioRxiv   pre-print
For this process we use the R Package "aniDom" (Sánchez-Tójar et al. 2018; Farine & Sanchez-Tojar 2021) .  ...  In the third model we add an interaction term between dominance and sex (Papageorgiou & Farine 2020; Dehnen et al. 2022b) .  ...  Farine, D.R. (2018) . When to choose dynamic vs. static social network analysis. J. Anim. Ecol., 87, 128-138. Farine, D.R. & Sanchez-Tojar, A. (2021) .  ... 
doi:10.1101/2022.05.30.494018 fatcat:7nw5cgsfmvfwtldkr2f5x5q6yu

Measuring the robustness of network community structure using assortativity

Daizaburo Shizuka, Damien R. Farine
2016 Animal Behaviour  
& Strandburg-Peshkin, 2015; Farine & Whitehead, 2015) .  ...  , 2015; Farine & Whitehead, 2015; Franks, Ruxton, & James, 2010; Whitehead & Dufault, 1999) .  ... 
doi:10.1016/j.anbehav.2015.12.007 pmid:26949266 pmcid:PMC4758825 fatcat:whgpup5n6faixepzekp3543jkq

A practical guide for inferring reliable dominance hierarchies and estimating their uncertainty [article]

Alfredo Sanchez-Tojar, Julia Schroeder, Damien R Farine
2017 bioRxiv   pre-print
Farine & Strandburg-Peshkin, 2015; Lusseau, Whitehead, & Gero, 2008).  ...  The authors 590 declare that they have no conflict of interest. 595 ( 595 "aniDom": Farine & Sánchez-Tójar, 2017).  ... 
doi:10.1101/111146 fatcat:ti4siuxk2vdltlzgki4b2htlwu

Structural trade‐offs can predict rewiring in shrinking social networks

Damien R. Farine
2019 Journal of Animal Ecology  
The R function and code to replicate the figures from the simulation are provided at: https ://doi. org/10.17617/ 3.2w (Farine, 2019) . O RCI D Damien R.  ...  Dorado & Vazquez, 2014; Marthy & Farine, 2018) .  ... 
doi:10.1111/1365-2656.13140 pmid:31691962 fatcat:vd7zul37ybafpoh7du5tpuytje

Permutation tests for hypothesis testing with animal social data: problems and potential solutions [article]

Damien R Farine, Gerald G. Carter
2020 bioRxiv   pre-print
ACKNOWLEDGEMENTS We thank the Farine lab, Josh Firth, Matt Silk, Michael Weiss, Dan Franks, and  ...  Such sampling biases and other nuisance effects can lead to elevated rates of false positives and false negatives when using node permutations (Croft et al. 2011; Farine & Whitehead 2015; Farine 2017;  ...  In part, this problem occurs because constructing social networks requires large numbers of observations (Langen 1996; Farine & Strandburg-Peshkin 2015; Davis, Crofoot & Farine 2018 ) with many repeated  ... 
doi:10.1101/2020.08.02.232710 fatcat:edja2tx7tzelhi7nvohcdsxzxi

Wild songbirds exhibit consistent individual differences in inter-specific social behaviour [article]

Friederike Hillemann, Ella F Cole, Damien R Farine, Ben C Sheldon
2019 bioRxiv   pre-print
et al. 2012; Farine & Milburn 2013).  ...  , 157 2015 Farine et al. 2012 Farine et al. , 2015 to process the datastream of spatiotemporal detections of158 PIT-tagged birds at feeders.  ... 
doi:10.1101/746545 fatcat:agqdhwfgkbelfif6zl4zn2rloy

Environmental disturbance increases social connectivity in a passerine bird

Samantha M. Lantz, Jordan Karubian, Damien Roger Farine
2017 PLoS ONE  
The Karubian and Derryberry lab groups, Damien Farine and one anonymous reviewer provided helpful comments on earlier drafts of this manuscript.  ... 
doi:10.1371/journal.pone.0183144 pmid:28854197 pmcid:PMC5576644 fatcat:l5fer3c4vjdd3ecq4xcs2dj7cq
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