Multilayer network analysis: new opportunities and challenges for studying animal social systems

Hasenjager, Matthew J.; Silk, Matthew J.; Fisher, David N.

doi:10.1093/cz/zoab006

Cited by 8 publications

(1 citation statement)

References 37 publications

(39 reference statements)

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“…Although it is difficult to draw conclusions from this study about the mechanisms that allow cooperation among non‐kin because genetic relatedness between individuals was not considered, this study highlights the range of measures and characteristics of social structure that can be extracted and the comparisons that can be made using social network analysis. Consideration of the ‘multi‐layered’ nature of social interaction types within particular social settings and groups (Silk et al ., 2018; Finn et al ., 2019; Hasenjager, Silk & Fisher, 2021) can be useful for detailing which particular contexts of social associations may be related to cooperation.…”

Section: Existing Workmentioning

confidence: 99%

Exploring the causes and consequences of cooperative behaviour in wild animal populations using a social network approach

et al. 2021

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Understanding why individuals carry out behaviours that benefit others, especially genetically unrelated others, has been a major undertaking in many fields and particularly in biology. Here, we focus on the cooperation literature from natural populations and present the benefits of a social network approach in terms of how it can help to identify and understand factors that influence the maintenance and spread of cooperation, but are not easily captured when solely considering independent dyadic interactions. We describe how various routes to cooperation can be tested within the social network framework. Applying the social network approach to data from natural populations can help to uncover the evolutionary and ecological pressures that lead to differences in cooperation and other social processes.

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Section: Existing Workmentioning

confidence: 99%

Exploring the causes and consequences of cooperative behaviour in wild animal populations using a social network approach

et al. 2021

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From dyads to collectives: a review of honeybee signalling

Hasenjager

Franks

Leadbeater

2022

Behav Ecol Sociobiol

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The societies of honeybees (Apis spp.) are microcosms of divided labour where the fitness interests of individuals are so closely aligned that, in some contexts, the colony behaves as an entity in itself. Self-organization at this extraordinary level requires sophisticated communication networks, so it is not surprising that the celebrated waggle dance, by which bees share information about locations outside the hive, evolved here. Yet bees within the colony respond to several other lesser-known signalling systems, including the tremble dance, the stop signal and the shaking signal, whose roles in coordinating worker behaviour are not yet fully understood. Here, we firstly bring together the large but disparate historical body of work that has investigated the “meaning” of such signals for individual bees, before going on to discuss how network-based approaches can show how such signals function as a complex system to control the collective foraging effort of these remarkable social insect societies.

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Queen succession in the Indian paper wasp Ropalidia marginata: On the trail of the potential queen

2022

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Multilayer network analysis: new opportunities and challenges for studying animal social systems

Cited by 8 publications

References 37 publications

Exploring the causes and consequences of cooperative behaviour in wild animal populations using a social network approach

Exploring the causes and consequences of cooperative behaviour in wild animal populations using a social network approach

From dyads to collectives: a review of honeybee signalling

Queen succession in the Indian paper wasp Ropalidia marginata: On the trail of the potential queen

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