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      Ant social network structure is highly conserved across species

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          Abstract

          The ecological success of social insects makes their colony organization fascinating to scientists studying collective systems. In recent years, the combination of automated behavioural tracking and social network analysis has deepened our understanding of many aspects of colony organization. However, because studies have typically worked with single species, we know little about interspecific variation in network structure. Here, we conduct a comparative network analysis across five ant species from five subfamilies, separated by more than 100 Myr of evolution. We find that social network structure is highly conserved across subfamilies. All species studied form modular networks, with two social communities, a similar distribution of individuals between the two communities, and equivalent mapping of task performance onto the communities. Against this backdrop of organizational similarity, queens of the different species occupied qualitatively distinct network positions. The deep conservation of the two community structure implies that the most fundamental behavioural division of labour in social insects is between workers that stay in the nest to rear brood, and those that leave the nest to forage. This division has parallels across the animal kingdom in systems of biparental care and probably represents the most readily evolvable form of behavioural division of labour.

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          The Ants

          From the Arctic to South Africa - one finds them everywhere: Ants. Making up nearly 15% of the entire terrestrial animal biomass, ants are impressive not only in quantitative terms, they also fascinate by their highly organized and complex social system. Their caste system, the division of labor, the origin of altruistic behavior and the complex forms of chemical communication makes them the most interesting group of social organisms and the main subject for sociobiologists. Not least is their ecological importance: Ants are the premier soil turners, channelers of energy and dominatrices of the insect fauna. TOC:The importance of ants.- Classification and origins.- The colony life cycle.- Altruism and the origin of the worker caste.- Colony odor and kin recognition.- Queen numbers and domination.- Communication.- Caste and division of labor.- Social homeostasis and flexibility.- Foraging and territorial strategies.- The organization of species communities.- Symbioses among ant species.- Symbioses with other animals.- Interaction with plants.- The specialized predators.- The army ants.- The fungus growers.- The harvesters.- The weaver ants.- Collecting and culturing ants.- Glossary.- Bibliography.- Index.
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            Modularity and community structure in networks

            M. Newman (2006)
            Many networks of interest in the sciences, including social networks, computer networks, and metabolic and regulatory networks, are found to divide naturally into communities or modules. The problem of detecting and characterizing this community structure is one of the outstanding issues in the study of networked systems. One highly effective approach is the optimization of the quality function known as "modularity" over the possible divisions of a network. Here I show that the modularity can be expressed in terms of the eigenvectors of a characteristic matrix for the network, which I call the modularity matrix, and that this expression leads to a spectral algorithm for community detection that returns results of demonstrably higher quality than competing methods in shorter running times. I illustrate the method with applications to several published network data sets.
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              Scale-free networks: a decade and beyond.

              For decades, we tacitly assumed that the components of such complex systems as the cell, the society, or the Internet are randomly wired together. In the past decade, an avalanche of research has shown that many real networks, independent of their age, function, and scope, converge to similar architectures, a universality that allowed researchers from different disciplines to embrace network theory as a common paradigm. The decade-old discovery of scale-free networks was one of those events that had helped catalyze the emergence of network science, a new research field with its distinct set of challenges and accomplishments.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: Project administrationRole: VisualizationRole: Writing – original draftRole: Writing – review and editing
                Role: Data curationRole: InvestigationRole: Writing – original draftRole: Writing – review and editing
                Role: Data curationRole: InvestigationRole: Writing – original draftRole: Writing – review and editing
                Role: Formal analysisRole: Writing – original draftRole: Writing – review and editing
                Role: Formal analysisRole: Writing – original draftRole: Writing – review and editing
                Role: SupervisionRole: Writing – original draftRole: Writing – review and editing
                Journal
                Proc Biol Sci
                Proc Biol Sci
                RSPB
                royprsb
                Proceedings of the Royal Society B: Biological Sciences
                The Royal Society
                0962-8452
                1471-2954
                July 2024
                July 31, 2024
                July 31, 2024
                : 291
                : 2027
                : 20240898
                Affiliations
                [ 1 ] Laboratory of Social Evolution and Behavior, The Rockefeller University; , New York, NY, USA
                [ 2 ] Department of Ecology and Evolution, University of Lausanne; , Lausanne, Switzerland
                [ 3 ] School of Biological Sciences, University of Bristol; , Bristol, UK
                Author notes

                Electronic supplementary material is available online at https://doi.org/10.6084/m9.figshare.c.7361875.

                [ † ]

                Present address: Social Evolution Unit, Cornuit 8, BP 855, Chesieres, Switzerland

                Author information
                https://orcid.org/0000-0003-2453-2514
                https://orcid.org/0000-0001-8047-449X
                Article
                rspb20240898
                10.1098/rspb.2024.0898
                11288679
                39079671
                eaf89a40-f2d6-4469-960c-9bedd3378d4a
                © 2024 The Authors.

                Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.

                History
                : January 17, 2024
                : June 19, 2024
                : June 21, 2024
                Funding
                Funded by: H2020 European Research Council, FundRef http://dx.doi.org/10.13039/100010663;
                Categories
                1001
                1001
                14
                70
                Behaviour
                Research Articles

                Life sciences
                ants,social insects,collective behaviour,social network analysis,social organization,division of labour

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