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Scale-Free Networks: Complex Webs in Nature and Technology

Author

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  • Caldarelli, Guido

    (Department of Physics, University of Rome 'Sapienza')

Abstract

A variety of different social, natural, and technological systems can be described by the same mathematical framework. This holds from the Internet to food webs and to boards of company directors. In all these situations a graph of the elements of the system and their interconnections displays a universal feature. There are only few elements with many connections, and many elements with few connections. This book presents the experimental evidence of these 'scale-free networks' and provides students and researchers with a corpus of theoretical results and algorithms to analyse and understand these features. The content of this book and the exposition makes it a clear textbook for beginners, and a reference book for the experts.

Suggested Citation

  • Caldarelli, Guido, 2013. "Scale-Free Networks: Complex Webs in Nature and Technology," OUP Catalogue, Oxford University Press, number 9780199665174.
    • Handle: RePEc:oxp:obooks:9780199665174
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    Cited by:

    1. Brancaccio, Emiliano & Giammetti, Raffaele & Lopreite, Milena & Puliga, Michelangelo, 2019. "Monetary policy, crisis and capital centralization in corporate ownership and control networks: A B-Var analysis," Structural Change and Economic Dynamics, Elsevier, vol. 51(C), pages 55-66.
    2. Yu-En Lin & Jia-Qi Yu & Hsiang-Hsuan Chih & Kung-Cheng Ho, 2022. "Near is more: learning efficiency in research and development innovation among interlocking firms," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-30, December.
    3. Kanno, Masayasu, 2015. "Assessing systemic risk using interbank exposures in the global banking system," Journal of Financial Stability, Elsevier, vol. 20(C), pages 105-130.
    4. Cynthia A. Wei & Michael L. Deaton & Teresa J. Shume & Ramiro Berardo & William R. Burnside, 2020. "A framework for teaching socio-environmental problem-solving," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 10(4), pages 467-477, December.
    5. Gemma Rosell-Tarragó & Emanuele Cozzo & Albert Díaz-Guilera, 2018. "A Complex Network Framework to Model Cognition: Unveiling Correlation Structures from Connectivity," Complexity, Hindawi, vol. 2018, pages 1-19, July.
    6. Kanno, Masayasu, 2021. "Risk contagion of COVID-19 in Japanese firms: A network approach," Research in International Business and Finance, Elsevier, vol. 58(C).

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