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Author Hilbert, M. pdf  doi
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  Title Scale- Free Power- Laws as Interaction between Progress and Diffusion Type
  Year (up) 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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