Generation and applications of simulated datasets to integrate social network and demographic analyses DOI Creative Commons
Matthew J. Silk, Olivier Giménez

Published: July 27, 2022

Social networks are tied to population dynamics; interactions driven by density and demographic structure, while social relationships can be key determinants of survival reproductive success. However, difficulties integrating models used in demography network analysis have limited research at this interface. Here we introduce the R package genNetDem for simulating integrated network-demographic datasets. By generating co-capture data with known statistical it provides functionality methodological research. We demonstrate its use case studies testing how imputation sampling design influence success adding traits conventional Cormack-Jolly-Seber (CJS) models. show that incorporating effects CJS generates qualitatively accurate results, but downward-biased parameter estimates when position influences survival. Biases greater fewer sampled or individuals observed each interaction. model performance is robust covariance, structure design. Longitudinal missing measures more stable than cross-sectional neither approach successfully estimates. While our results indicate potential within models, they imputing alone insufficient accurately estimate on This points importance approaches. a flexible tool aid these advancements help researchers other considerations studies.

Language: Английский

Community detection in large hypergraphs DOI Creative Commons
Nicolò Ruggeri, Martina Contisciani, Federico Battiston

et al.

Science Advances, Journal Year: 2023, Volume and Issue: 9(28)

Published: July 12, 2023

Hypergraphs, describing networks where interactions take place among any number of units, are a natural tool to model many real-world social and biological systems. Here, we propose principled framework the organization higher-order data. Our approach recovers community structure with accuracy exceeding that currently available state-of-the-art algorithms, as tested in synthetic benchmarks both hard overlapping ground-truth partitions. is flexible allows capturing assortative disassortative structures. Moreover, our method scales orders magnitude faster than competing making it suitable for analysis very large hypergraphs, containing millions nodes thousands nodes. work constitutes practical general hypergraph analysis, broadening understanding

Language: Английский

Citations

35
Percolation and Topological Properties of Temporal Higher-Order Networks DOI
Leonardo Di Gaetano, Federico Battiston, Michele Starnini

et al.

Physical Review Letters, Journal Year: 2024, Volume and Issue: 132(3)

Published: Jan. 18, 2024

Many complex systems that exhibit temporal nonpairwise interactions can be represented by means of generative higher-order network models. Here, we propose a hidden variable formalism to analytically characterize general class We apply our framework activity-driven model, providing analytical expressions for the main topological properties time-integrated hypergraphs, depending on integration time and activity distributions characterizing model. Furthermore, provide estimates percolation times classes uncorrelated correlated hypergraphs. Finally, quantify extent which empirical social is underestimated when their nature neglected.Received 1 June 2023Revised 23 October 2023Accepted 11 December 2023DOI:https://doi.org/10.1103/PhysRevLett.132.037401© 2024 American Physical SocietyPhysics Subject Headings (PhySH)Research AreasPercolationPhysical SystemsComplex networksSocial dynamicsSocial networksTechniquesNetwork ModelsStatistical Physics & ThermodynamicsInterdisciplinary

Language: Английский

Citations

16
Not your private tête-à-tête: leveraging the power of higher-order networks to study animal communication DOI Creative Commons
Iacopo Iacopini, Jennifer R. Foote, Nina H. Fefferman

et al.

Philosophical Transactions of the Royal Society B Biological Sciences, Journal Year: 2024, Volume and Issue: 379(1905)

Published: May 20, 2024

Animal communication is frequently studied with conventional network representations that link pairs of individuals who interact, for example, through vocalization. However, acoustic signals often have multiple simultaneous receivers, or receivers integrate information from signallers, meaning these interactions are not dyadic. Additionally, non-dyadic social structures shape an individual's behavioural response to vocal communication. Recently, major advances been made in the study non-dyadic, higher-order networks (e.g. hypergraphs and simplicial complexes). Here, we show how approaches can provide new insights into three case studies illustrate models can: (i) alter predictions about outcome vocally coordinated group departures; (ii) generate different patterns song synchronization only include dyadic interactions; (iii) inform cultural evolution Together, our examples highlight potential power animal We then build on identify key challenges applying this context outline important research questions techniques could help answer. This article part theme issue 'The sound: unravelling shapes dynamics'.

Language: Английский

Citations

11
Multi-level societies: different tasks at different social levels DOI Creative Commons
Ettore Camerlenghi, Danai Papageorgiou

Philosophical Transactions of the Royal Society B Biological Sciences, Journal Year: 2025, Volume and Issue: 380(1922)

Published: March 20, 2025

Multi-level vertebrate societies, characterized by nested social units, allow individuals to perform a wide range of tasks in cooperation with others beyond their core unit. In these can selectively interact specific partners from higher levels cooperatively distinct tasks. Alternatively, units the same level merge form higher-level associations, enabling benefit large without always maintaining The reasons why multi-level sociality evolves some systems but not are well understood. We propose that this is partly due lack data, especially regarding fitness consequences at different levels. First, we argue societies individual benefits should increase when performing associates Second, as more documented across taxa, will continue find similar cooperative performed each By providing compelling species examples, dolphins fairy-wrens, underscore despite diversity organization, convergence task performance become clearer data accumulates. Finally, highlight role buffering fluctuating environmental conditions flexible associations emerge according need. This article part theme issue ‘Division labour key driver evolution’.

Language: Английский

Citations

1
Testing the information centre hypothesis in a multilevel society DOI Creative Commons
Danai Papageorgiou,

Wismer Cherono,

Gabriella E. C. Gall

et al.

Journal of Animal Ecology, Journal Year: 2024, Volume and Issue: 93(8), P. 1147 - 1159

Published: July 3, 2024

Abstract In various animal species conspecifics aggregate at sleeping sites. Such aggregations can act as information centres where individuals acquire up‐to‐date knowledge about their environment. some species, communal sites comprise from multiple groups, each group maintains stable membership over time. We used GPS tracking to simultaneously record movement in a population of wild vulturine guineafowl ( Acryllium vulturinum ) investigate whether facilitate the transfer among across distinct groups. These birds live large and groups that move both together apart, often forming roosts containing up five first test provide opportunity for members other by examining spatial organization roosts. The data reveal intermix, thereby providing an out‐group information. next conduct field experiment naïve locate novel food patches when co‐roosting with knowledgeable find substantially increases chances discover patch known shared roost. Further, we discovery subsequently shapes space use inter‐group associations. also draw on our long‐term examples demonstrate natural cases roosting has preceded large‐scale multi‐group collective movements extend into areas beyond groups' normal ranges. Our findings support extension centre hypothesis consist social

Language: Английский

Citations

5
Conceptual representations of animal social networks: an overview DOI Creative Commons
Matthew J. Silk

Animal Behaviour, Journal Year: 2023, Volume and Issue: 201, P. 157 - 166

Published: June 3, 2023

Networks are now widely used to represent, quantify and model animal behaviour. These approaches have proved valuable in linking individual behaviours emergent population level patterns quantifying the implications of these structures for wider ecological evolutionary processes. However, there diverse conceptual representations network data choosing right tool answer a particular question can be challenging. Here I provide an overview different representations, highlighting their potential applications behavioural ecology drawing attention key resources help with implementation. My aim is accessible guide that helps ecologists take full advantage ways which generate social other networks.

Language: Английский

Citations

8
Hypergraph models of the mental lexicon capture greater information than pairwise networks for predicting language learning DOI
Salvatore Citraro, Judy Warner-Willich, Federico Battiston

et al.

New Ideas in Psychology, Journal Year: 2023, Volume and Issue: 71, P. 101034 - 101034

Published: June 11, 2023

Language: Английский

Citations

7
Comparative approaches in social network ecology DOI Creative Commons
Gregory F. Albery, Shweta Bansal, Matthew J. Silk

et al.

Ecology Letters, Journal Year: 2023, Volume and Issue: 27(1)

Published: Dec. 9, 2023

Social systems vary enormously across the animal kingdom, with important implications for ecological and evolutionary processes such as infectious disease dynamics, anti-predator defence, evolution of cooperation. Comparing social network structures between species offers a promising route to help disentangle that shape this diversity. Comparative analyses networks like these are challenging have been used relatively little in ecology, but becoming increasingly feasible number empirical datasets expands. Here, we provide an overview multispecies comparative studies ecology evolution. We identify range advancements made key challenges they face, use guide methodological suggestions future research. Overall, hope motivate wider publication analysis open ecology.

Language: Английский

Citations

4
Multilevel societies: different tasks at different social levels DOI Creative Commons
Ettore Camerlenghi, Danai Papageorgiou

Published: Aug. 26, 2024

Multilevel vertebrate societies, characterised by nested social units, allow individuals to perform a wide range of tasks in cooperation with others beyond their core unit. In these can selectively interact specific partners from higher levels cooperatively distinct tasks. Alternatively, units the same level merge form higher-level associations, enabling benefit large without always maintaining The reasons why multilevel sociality evolves some systems but not are well understood. We propose that this is partly due lack data, especially regarding fitness consequences at different levels. First, we argue societies individual benefits should increase when performing associates Secondly, as more documented across taxa, will continue find similar cooperative performed By providing compelling species examples, dolphins fairy-wrens, underscore despite diversity organisation, convergence task performance become clearer data. Finally, highlight role buffering fluctuating environmental conditions flexible associations emerge according need.

Language: Английский

Citations

1
Generation and applications of simulated datasets to integrate social network and demographic analyses DOI Creative Commons
Matthew J. Silk, Olivier Giménez

Ecology and Evolution, Journal Year: 2023, Volume and Issue: 13(5)

Published: May 1, 2023

Abstract Social networks are tied to population dynamics; interactions driven by density and demographic structure, while social relationships can be key determinants of survival reproductive success. However, difficulties integrating models used in demography network analysis have limited research at this interface. We introduce the R package genNetDem for simulating integrated network–demographic datasets. It create longitudinal and/or capture–recapture datasets with known properties. incorporates ability generate populations their networks, grouping events using these simulate effects on individual survival, flexibly sample associations. By generating co‐capture data statistical relationships, it provides functionality methodological research. demonstrate its use case studies testing how imputation sampling design influence success adding traits conventional Cormack–Jolly–Seber (CJS) models. show that incorporating into CJS generates qualitatively accurate results, but downward‐biased parameter estimates when position influences survival. Biases greater fewer sampled or individuals observed each interaction. While our results indicate potential within models, they imputing missing measures alone is insufficient accurately estimate pointing importance approaches. a flexible tool aid advancements help researchers other considerations studies.

Language: Английский

Citations

2