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Romano V, Puga-Gonzalez I, MacIntosh AJJ, Sueur C. The role of social attraction and social avoidance in shaping modular networks. ROYAL SOCIETY OPEN SCIENCE 2024; 11:231619. [PMID: 38420628 PMCID: PMC10898973 DOI: 10.1098/rsos.231619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Accepted: 02/02/2024] [Indexed: 03/02/2024]
Abstract
How interactions between individuals contribute to the emergence of complex societies is a major question in behavioural ecology. Nonetheless, little remains known about the type of immediate social structure (i.e. social network) that emerges from relationships that maximize beneficial interactions (e.g. social attraction towards informed individuals) and minimize costly relationships (e.g. social avoidance of infected group mates). We developed an agent-based model where individuals vary in the degree to which individuals signal benefits versus costs to others and, on this basis, choose with whom to interact depending on simple rules of social attraction (e.g. access to the highest benefits) and social avoidance (e.g. avoiding the highest costs). Our main findings demonstrate that the accumulation of individual decisions to avoid interactions with highly costly individuals, but that are to some extent homogeneously beneficial, leads to more modular networks. On the contrary, individuals favouring interactions with highly beneficial individuals, but that are to some extent homogeneously costly, lead to less modular networks. Interestingly, statistical models also indicate that when individuals have multiple potentially beneficial partners to interact with, and no interaction cost exists, this also leads to more modular networks. Yet, the degree of modularity is contingent upon the variability in benefit levels held by individuals. We discuss the emergence of modularity in the systems and their consequences for understanding social trade-offs.
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Affiliation(s)
- Valéria Romano
- IMBE, Aix Marseille Univ., Avignon Univ., CNRS, IRD, Marseille, France
| | - Ivan Puga-Gonzalez
- Center for Modelling Social Systems (CMSS) at NORCE, Kristiansand, Norway
| | | | - Cédric Sueur
- Université de Strasbourg, CNRS, IPHC UMR 7178, 67000 Strasbourg, France
- Institut Universitaire de France, Paris, France
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Borthwick Z, Quiring K, Griffith SC, Leu ST. Heat stress conditions affect the social network structure of free-ranging sheep. Ecol Evol 2024; 14:e10996. [PMID: 38352202 PMCID: PMC10862161 DOI: 10.1002/ece3.10996] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 01/18/2024] [Accepted: 01/23/2024] [Indexed: 02/16/2024] Open
Abstract
Extreme weather conditions, like heatwave events, are becoming more frequent with climate change. Animals often modify their behaviour to cope with environmental changes and extremes. During heat stress conditions, individuals change their spatial behaviour and increase the use of shaded areas to assist with thermoregulation. Here, we suggest that for social species, these behavioural changes and ambient conditions have the potential to influence an individual's position in its social network, and the social network structure as a whole. We investigated whether heat stress conditions (quantified through the temperature humidity index) and the resulting use of shaded areas, influence the social network structure and an individual's connectivity in it. We studied this in free-ranging sheep in the arid zone of Australia, GPS-tracking all 48 individuals in a flock. When heat stress conditions worsened, individuals spent more time in the shade and the network was more connected (higher density) and less structured (lower modularity). Furthermore, we then identified the behavioural change that drove the altered network structure and showed that an individual's shade use behaviour affected its social connectivity. Interestingly, individuals with intermediate shade use were most strongly connected (degree, strength, betweenness), indicating their importance for the connectivity of the social network during heat stress conditions. Heat stress conditions, which are predicted to increase in severity and frequency due to climate change, influence resource use within the ecological environment. Importantly, our study shows that these heat stress conditions also affect the animal's social environment through the changed social network structure. Ultimately, this could have further flow on effects for social foraging and individual health since social structure drives information and disease transmission.
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Affiliation(s)
- Zachary Borthwick
- School of Animal and Veterinary SciencesThe University of AdelaideRoseworthySouth AustraliaAustralia
| | - Katrin Quiring
- School of Natural SciencesMacquarie UniversitySydneyNew South WalesAustralia
- Department of Behavioural EcologyUniversity of GöttingenGöttingenGermany
| | - Simon C. Griffith
- School of Natural SciencesMacquarie UniversitySydneyNew South WalesAustralia
- School of Biological, Earth and Environmental SciencesUniversity of New South WalesSydneyNew South WalesAustralia
| | - Stephan T. Leu
- School of Animal and Veterinary SciencesThe University of AdelaideRoseworthySouth AustraliaAustralia
- School of Natural SciencesMacquarie UniversitySydneyNew South WalesAustralia
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Quque M, Bles O, Bénard A, Héraud A, Meunier B, Criscuolo F, Deneubourg JL, Sueur C. Hierarchical networks of food exchange in the black garden ant Lasius niger. INSECT SCIENCE 2021; 28:825-838. [PMID: 32306510 DOI: 10.1111/1744-7917.12792] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2019] [Revised: 04/05/2020] [Accepted: 04/07/2020] [Indexed: 06/11/2023]
Abstract
In most eusocial insects, the division of labor results in relatively few individuals foraging for the entire colony. Thus, the survival of the colony depends on its efficiency in meeting the nutritional needs of all its members. Here, we characterize the network topology of a eusocial insect to understand the role and centrality of each caste in this network during the process of food dissemination. We constructed trophallaxis networks from 34 food-exchange experiments in black garden ants (Lasius niger). We tested the influence of brood and colony size on (i) global indices at the network level (i.e., efficiency, resilience, centralization, and modularity) and (ii) individual values (i.e., degree, strength, betweenness, and the clustering coefficient). Network resilience, the ratio between global efficiency and centralization, was stable with colony size but increased in the presence of broods, presumably in response to the nutritional needs of larvae. Individual metrics highlighted the major role of foragers in food dissemination. In addition, a hierarchical clustering analysis suggested that some domestics acted as intermediaries between foragers and other domestics. Networks appeared to be hierarchical rather than random or centralized exclusively around foragers. Finally, our results suggested that networks emerging from social insect interactions can improve group performance and thus colony fitness.
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Affiliation(s)
- Martin Quque
- CNRS, IPHC, Université de Strasbourg, Strasbourg, UMR718, France
| | - Olivier Bles
- Centre for Nonlinear Phenomena and Complex Systems (Cenoli)-CP 231, Université libre de Bruxelles (ULB), Bruxelles, Belgium
| | | | - Amélie Héraud
- CNRS, IPHC, Université de Strasbourg, Strasbourg, UMR718, France
| | | | | | - Jean-Louis Deneubourg
- Centre for Nonlinear Phenomena and Complex Systems (Cenoli)-CP 231, Université libre de Bruxelles (ULB), Bruxelles, Belgium
| | - Cédric Sueur
- CNRS, IPHC, Université de Strasbourg, Strasbourg, UMR718, France
- Institut Universitaire de France, Paris, France
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Kalantari S, Nazemi E, Masoumi B. Emergence phenomena in self-organizing systems: a systematic literature review of concepts, researches, and future prospects. JOURNAL OF ORGANIZATIONAL COMPUTING AND ELECTRONIC COMMERCE 2020. [DOI: 10.1080/10919392.2020.1748977] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Affiliation(s)
- Somayeh Kalantari
- Faculty of Computer and Information Technology Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
| | - Eslam Nazemi
- Faculty of Computer Science & Engineering, Shahid Beheshti University, Tehran, Iran
| | - Behrooz Masoumi
- Faculty of Computer and Information Technology Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
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Social style and resilience of macaques' networks, a theoretical investigation. Primates 2018; 60:233-246. [PMID: 30242533 DOI: 10.1007/s10329-018-0684-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2018] [Accepted: 08/31/2018] [Indexed: 10/28/2022]
Abstract
Group-living animals rely on efficient transmission of information for optimal exploitation of their habitat. How efficient and resilient a network is depend on its structure, which is a consequence of the social interactions of the individuals that comprise the network. In macaques, network structure differs according to dominance style. Networks of intolerant species are more modular, more centralized, and less connected than those of tolerant ones. Given these structural differences, networks of intolerant species are potentially more vulnerable to fragmentation and decreased information transmission when central individuals disappear. Here we studied network resilience and efficiency in artificial societies of macaques. The networks were produced with an individual-based model that has been shown to reproduce the structural features of networks of tolerant and intolerant macaques. To study network resilience, we deleted either central individuals or individuals at random and studied the effects of these deletions on network cohesiveness and efficiency. The deletion of central individuals had more negative effects than random deletions from the networks of both tolerant and intolerant artificial societies. Central individuals thus appeared to aid in the maintenance of network cohesiveness and efficiency. Further, the networks of both intolerant and tolerant societies appeared to be robust to the loss of individuals, as network fragmentation was never observed. Our results suggest that despite differences in network structure, networks of tolerant and intolerant macaques may be equally resilient.
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Puga-Gonzalez I, Ostner J, Schülke O, Sosa S, Thierry B, Sueur C. Mechanisms of reciprocity and diversity in social networks: a modeling and comparative approach. Behav Ecol 2018. [DOI: 10.1093/beheco/ary034] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- Ivan Puga-Gonzalez
- Institute for Religion, Philosophy and History, University of Agder, Kristiansand, Gimlemoen, Kristiansand S, Norway
| | - Julia Ostner
- Department for Behavioural Ecology, University of Göttingen, Kellnerweg, Göttingen, Germany
- Primate Social Evolution Group, German Primate Center Göttingen, Kellnerweg, Göttingen, Germany
- Leibniz Science Campus Primate Cognition, Kellnerweg, Göttingen, Germany
| | - Oliver Schülke
- Department for Behavioural Ecology, University of Göttingen, Kellnerweg, Göttingen, Germany
- Primate Social Evolution Group, German Primate Center Göttingen, Kellnerweg, Göttingen, Germany
- Leibniz Science Campus Primate Cognition, Kellnerweg, Göttingen, Germany
| | - Sebastian Sosa
- School of Sociology and Anthropology, Sun Yat-sen University, Guangzhou, PR China
| | - Bernard Thierry
- Ethologie Cognitive et Sociale, Centre National de la Recherche Scientifique, rue du loess, Strasbourg, France
| | - Cedric Sueur
- Université de Strasbourg, CNRS, IPHC UMR, rue Becquerel Strasbourg Cedex, France
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Balasubramaniam KN, Beisner BA, Berman CM, De Marco A, Duboscq J, Koirala S, Majolo B, MacIntosh AJ, McFarland R, Molesti S, Ogawa H, Petit O, Schino G, Sosa S, Sueur C, Thierry B, de Waal FBM, McCowan B. The influence of phylogeny, social style, and sociodemographic factors on macaque social network structure. Am J Primatol 2017; 80. [PMID: 29140552 DOI: 10.1002/ajp.22727] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2017] [Revised: 09/30/2017] [Accepted: 11/02/2017] [Indexed: 11/11/2022]
Abstract
Among nonhuman primates, the evolutionary underpinnings of variation in social structure remain debated, with both ancestral relationships and adaptation to current conditions hypothesized to play determining roles. Here we assess whether interspecific variation in higher-order aspects of female macaque (genus: Macaca) dominance and grooming social structure show phylogenetic signals, that is, greater similarity among more closely-related species. We use a social network approach to describe higher-order characteristics of social structure, based on both direct interactions and secondary pathways that connect group members. We also ask whether network traits covary with each other, with species-typical social style grades, and/or with sociodemographic characteristics, specifically group size, sex-ratio, and current living condition (captive vs. free-living). We assembled 34-38 datasets of female-female dyadic aggression and allogrooming among captive and free-living macaques representing 10 species. We calculated dominance (transitivity, certainty), and grooming (centrality coefficient, Newman's modularity, clustering coefficient) network traits as aspects of social structure. Computations of K statistics and randomization tests on multiple phylogenies revealed moderate-strong phylogenetic signals in dominance traits, but moderate-weak signals in grooming traits. GLMMs showed that grooming traits did not covary with dominance traits and/or social style grade. Rather, modularity and clustering coefficient, but not centrality coefficient, were strongly predicted by group size and current living condition. Specifically, larger groups showed more modular networks with sparsely-connected clusters than smaller groups. Further, this effect was independent of variation in living condition, and/or sampling effort. In summary, our results reveal that female dominance networks were more phylogenetically conserved across macaque species than grooming networks, which were more labile to sociodemographic factors. Such findings narrow down the processes that influence interspecific variation in two core aspects of macaque social structure. Future directions should include using phylogeographic approaches, and addressing challenges in examining the effects of socioecological factors on primate social structure.
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Affiliation(s)
- Krishna N Balasubramaniam
- Department of Population Health and Reproduction, School of Veterinary Medicine, UC Davis, Davis, California
| | - Brianne A Beisner
- Department of Population Health and Reproduction, School of Veterinary Medicine, UC Davis, Davis, California.,California National Primate Research Center, University of California Davis, Davis, California
| | - Carol M Berman
- Department of Anthropology, Graduate Program in Evolution, Ecology and Behavior, University at Buffalo, Buffalo, New York
| | | | - Julie Duboscq
- Wildlife Research Center, Kyoto University, Inuyama, Japan.,Primate Research Institute, Kyoto University, Inuyama, Japan
| | - Sabina Koirala
- Small Mammal Conservation and Research Foundation (SMCRF), Kathamandu, Nepal
| | | | - Andrew J MacIntosh
- Wildlife Research Center, Kyoto University, Inuyama, Japan.,Primate Research Institute, Kyoto University, Inuyama, Japan
| | - Richard McFarland
- Department of Anthropology, University of Wisconsin-Madison, Madison, Wisconsin
| | | | - Hideshi Ogawa
- School of International Liberal Studies, Chukyo University, Toyota, Japan
| | - Odile Petit
- Ethologie Cognitive et Sociale, Centre National de la Recherche Scientifique, Strasbourg, France
| | - Gabriele Schino
- Istituto di Scienze e Tecnologie della Cognizione, Consiglio Nazionale delle Ricerche, Rome, Italy
| | - Sebastian Sosa
- Anthropology Department, Sun-Yat sen University, Guang Zhou, China
| | - Cédric Sueur
- Centre National de la Recherche Scientifique, Université de Strasbourg, Institut Pluridisciplinaire Hubert Curien, Strasbourg, France
| | - Bernard Thierry
- Centre National de la Recherche Scientifique, Université de Strasbourg, Institut Pluridisciplinaire Hubert Curien, Strasbourg, France
| | | | - Brenda McCowan
- Department of Population Health and Reproduction, School of Veterinary Medicine, UC Davis, Davis, California.,California National Primate Research Center, University of California Davis, Davis, California
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