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Author Hilbert, M.
Title Scale- Free Power- Laws as Interaction between Progress and Diffusion Type
Year 2014 Publication Complexity Abbreviated Journal Complexity
Volume 19 Issue 4 Pages 56-65
Keywords power-law; technological change; diffusion of innovations; pareto
Abstract While scale-free power-laws are frequently found in social and technological systems, their authenticity, origin, and gained insights are often questioned, and rightfully so. The article presents a newly found rank-frequency power-law that aligns the top-500 supercomputers according to their performance. Pursuing a cautious approach in a systematic way, we check for authenticity, evaluate several potential generative mechanisms, and ask the so what question. We evaluate and finally reject the applicability of well-known potential generative mechanisms such as preferential attachment, self-organized criticality, optimization, and random observation. Instead, the microdata suggest that an inverse relationship between exponential technological progress and exponential technology diffusion through social networks results in the identified fat-tail distribution. This newly identified generative mechanism suggests that the supply and demand of technology (technology push and demand pull) align in exponential synchronicity, providing predictive insights into the evolution of highly uncertain technology markets. (c) 2013 Wiley Periodicals, Inc. Complexity 19: 56-65, 2014
Address [Hilbert, Martin] United Nations ECLAC, Santiago, Chile, Email: MartinHilbert@gmail.com
Corporate Author Thesis
Publisher Wiley-Blackwell Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1076-2787 ISBN Medium
Area Expedition Conference
Notes WOS:000332210400006 Approved
Call Number UAI @ eduardo.moreno @ Serial 358
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