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Complex Systems Science: Dreams of Universality, Reality of Interdisciplinarity

Sebastian Grauwin 1, 2, 3 Guillaume Beslon 4, 5 Eric Fleury 1, 2, 6 Sara Franceschelli 2, 7, 8 Céline Robardet 9 Jean-Baptiste Rouquier 10 Pablo Jensen 2, 3 
1 DNET - Dynamic Networks
Inria Grenoble - Rhône-Alpes, LIP - Laboratoire de l'Informatique du Parallélisme
4 BEAGLE - Artificial Evolution and Computational Biology
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information, Inria Grenoble - Rhône-Alpes, LBBE - Laboratoire de Biométrie et Biologie Evolutive - UMR 5558
9 COMBINING - COMputational BIology and data miNING
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information, Inria Grenoble - Rhône-Alpes
Abstract : Using a large database (~ 215 000 records) of relevant articles, we empirically study the "complex systems" field and its claims to find universal principles applying to systems in general. The study of references shared by the papers allows us to obtain a global point of view on the structure of this highly interdisciplinary field. We show that its overall coherence does not arise from a universal theory but instead from computational techniques and fruitful adaptations of the idea of self-organization to specific systems. We also find that communication between different disciplines goes through specific "trading zones", ie sub-communities that create an interface around specific tools (a DNA microchip) or concepts (a network).
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Submitted on : Monday, June 11, 2012 - 9:58:16 AM
Last modification on : Sunday, September 25, 2022 - 3:54:51 AM
Long-term archiving on: : Thursday, December 15, 2016 - 1:05:15 PM

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Sebastian Grauwin, Guillaume Beslon, Eric Fleury, Sara Franceschelli, Céline Robardet, et al.. Complex Systems Science: Dreams of Universality, Reality of Interdisciplinarity. Journal of the American Society for Information Science and Technology, Association for Information Science and Technology (ASIS&T), 2012, 63 (7), pp.10.1002/asi.22644. ⟨10.1002/asi.22644⟩. ⟨hal-00706567⟩

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