https://doi.org/10.1140/epjds/s13688-025-00574-6
Research
The robust-fragile duality of the ATLAS collaboration network
1
Internet Interdisciplinary Institute (IN3), Universitat Oberta de Catalunya, Barcelona, Catalonia, Spain
2
URPP Social Networks, University of Zurich, Zurich, Switzerland
3
CERN, CH-1211, Geneva 23, Switzerland
4
Faculty of Economics and Business, Universitat Oberta de Catalunya, Barcelona, Catalonia, Spain
Received:
11
February
2025
Accepted:
10
July
2025
Published online:
30
July
2025
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.
Key words: Big science / Collaboration networks / Robustness / Fragility
© The Author(s) 2025
Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.