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Diversification versus specialization in complex ecosystems

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posted on 2025-08-01, 08:41 authored by R Di Clemente, GL Chiarotti, M Cristelli, A Tacchella, L Pietronero
By analyzing the distribution of revenues across the production sectors of quoted firms we suggest a novel dimension that drives the firms diversification process at country level. Data show a non trivial macro regional clustering of the diversification process, which underlines the relevance of geopolitical environments in determining the microscopic dynamics of economic entities. These findings demonstrate the possibility of singling out in complex ecosystems those micro-features that emerge at macro-levels, which could be of particular relevance for decision-makers in selecting the appropriate parameters to be acted upon in order to achieve desirable results. The understanding of this micro-macro information exchange is further deepened through the introduction of a simplified dynamic model.

Funding

611272

EU

Italian PNR project “CRISIS-Lab”

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Rights

© 2014 Di Clemente et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Notes

This is the final version. Available from Public Library of Science via the DOI in this record. The authors confirm that, for approved reasons, some access restrictions apply to the data underlying the findings. The dataset to reproduce all the main findings of the article is available in the zip file enclose in the submission. The authors confirm that they recieved the permission from Bloomberg to share and publish the data attached as a Supporting Information file. The whole worldwide database is available to anyone after a paid subscription to Bloomberg services http://www.bloomberg.com/professional/.

Journal

PLoS ONE

Publisher

Public Library of Science

Version

  • Version of Record

Language

en

FCD date

2020-01-29T08:43:25Z

FOA date

2020-01-29T08:48:10Z

Citation

Vol. 9 (11), article e112525

Department

  • Computer Science

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