The robust-fragile duality of the ATLAS collaboration network

Abstract Big Science initiatives like the ATLAS experiment at CERN exemplify the scale and complexity of modern collaborative research. With thousands of scientists and institutions from over 40 countries, ATLAS represents a global effort to uncover fundamental aspects of particle physics. In this w...

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Main Authors: Rubén Rodríguez-Casañ, María J. Palazzi, Albert Solé-Ribalta, Markus Nordberg, Agustí Canals, Javier Borge-Holthoefer
Format: Article
Language:English
Published: SpringerOpen 2025-07-01
Series:EPJ Data Science
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Online Access:https://doi.org/10.1140/epjds/s13688-025-00574-6
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author Rubén Rodríguez-Casañ
María J. Palazzi
Albert Solé-Ribalta
Markus Nordberg
Agustí Canals
Javier Borge-Holthoefer
author_facet Rubén Rodríguez-Casañ
María J. Palazzi
Albert Solé-Ribalta
Markus Nordberg
Agustí Canals
Javier Borge-Holthoefer
author_sort Rubén Rodríguez-Casañ
collection DOAJ
description Abstract Big Science initiatives like the ATLAS experiment at CERN exemplify the scale and complexity of modern collaborative research. With thousands of scientists and institutions from over 40 countries, ATLAS represents a global effort to uncover fundamental aspects of particle physics. In this work, we investigate the evolving collaboration patterns within ATLAS by constructing and analysing bipartite networks of authors and countries linked to their publications. Through this dual perspective, we uncover structural features such as modularity at the author level, and a clear nested pattern at the country level, each reflecting distinct organizational dynamics: modularity highlights the formation of cohesive working groups, driven by bottom-up interactions and stabilized by institutional continuity. Nestedness, on the other hand, underscores the stratified contributions of nations based on resources and expertise, revealing both strengths and vulnerabilities in the collaboration. Using percolation analysis, we assess the robustness of these patterns to perturbations, finding that modularity ensures resilience to individual turnover, while nestedness reveals fragility to the loss of some key contributors. These findings shed light on the interplay between structural organization and dynamical stability in large-scale collaborations, offering insights for managing and optimizing similar scientific endeavours.
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spelling doaj-art-edcbd7212a614f2e9a3584552ede13282025-08-20T04:01:52ZengSpringerOpenEPJ Data Science2193-11272025-07-0114111910.1140/epjds/s13688-025-00574-6The robust-fragile duality of the ATLAS collaboration networkRubén Rodríguez-Casañ0María J. Palazzi1Albert Solé-Ribalta2Markus Nordberg3Agustí Canals4Javier Borge-Holthoefer5Internet Interdisciplinary Institute (IN3), Universitat Oberta de CatalunyaInternet Interdisciplinary Institute (IN3), Universitat Oberta de CatalunyaInternet Interdisciplinary Institute (IN3), Universitat Oberta de CatalunyaCERNFaculty of Economics and Business, Universitat Oberta de CatalunyaInternet Interdisciplinary Institute (IN3), Universitat Oberta de CatalunyaAbstract Big Science initiatives like the ATLAS experiment at CERN exemplify the scale and complexity of modern collaborative research. With thousands of scientists and institutions from over 40 countries, ATLAS represents a global effort to uncover fundamental aspects of particle physics. In this work, we investigate the evolving collaboration patterns within ATLAS by constructing and analysing bipartite networks of authors and countries linked to their publications. Through this dual perspective, we uncover structural features such as modularity at the author level, and a clear nested pattern at the country level, each reflecting distinct organizational dynamics: modularity highlights the formation of cohesive working groups, driven by bottom-up interactions and stabilized by institutional continuity. Nestedness, on the other hand, underscores the stratified contributions of nations based on resources and expertise, revealing both strengths and vulnerabilities in the collaboration. Using percolation analysis, we assess the robustness of these patterns to perturbations, finding that modularity ensures resilience to individual turnover, while nestedness reveals fragility to the loss of some key contributors. These findings shed light on the interplay between structural organization and dynamical stability in large-scale collaborations, offering insights for managing and optimizing similar scientific endeavours.https://doi.org/10.1140/epjds/s13688-025-00574-6Big scienceCollaboration networksRobustnessFragility
spellingShingle Rubén Rodríguez-Casañ
María J. Palazzi
Albert Solé-Ribalta
Markus Nordberg
Agustí Canals
Javier Borge-Holthoefer
The robust-fragile duality of the ATLAS collaboration network
EPJ Data Science
Big science
Collaboration networks
Robustness
Fragility
title The robust-fragile duality of the ATLAS collaboration network
title_full The robust-fragile duality of the ATLAS collaboration network
title_fullStr The robust-fragile duality of the ATLAS collaboration network
title_full_unstemmed The robust-fragile duality of the ATLAS collaboration network
title_short The robust-fragile duality of the ATLAS collaboration network
title_sort robust fragile duality of the atlas collaboration network
topic Big science
Collaboration networks
Robustness
Fragility
url https://doi.org/10.1140/epjds/s13688-025-00574-6
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