Non-Fiction Books:

Innovation Networks

New Approaches in Modelling and Analyzing
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Paperback / softback
$266.99
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Description

social network analysis has been an established eld since the 1950s; in computer and information sciences, in biology, and of course in mathematics (graph theory) networks are central representations of objects and methods (De Nooy, forthc- ing). More detailed bibliometric studies have examined the individual, cognitive, and institutional composition of complex network theory (Morris and Yen 2004), and social network theory (Otte and Rousseau 2002). Among the more impor- .. tant pieces of literature are Borner et al. (2007), Bornholdt and Schuster (2003), Buchanan (2002), Dorogovtsev and Mendes (2003), Otte and Rousseau (2002), Newman (2003), and Watts (1999, 2004). Of these, Borner .. et al. (2007) stand out because they have most recently re-examined network science, considering it as a possible innovation in information science. All the reviews mentioned include efforts to build bridges between different scienti c disciplines and specialties. In this book we draw particular attention to the link between evolutionary economics and statistical physics. Despite this impressive development, claims that an entirely new science has been created (Barabasi ' 2002) have nevertheless been the subject of criticism. - depth analyses of a subset of "complex networks" contributions (1991-2003) have shown that the notion of "complex networks" was already prevalent in a number of different elds before it became practically a "brand name" or the popular label for a new specialty area in physics, or a new cross-disciplinary paradigm.
Release date Australia
October 22nd, 2010
Audience
  • Professional & Vocational
Contributors
  • Edited by Andrea Scharnhorst
  • Edited by Andreas Pyka
Edition
Softcover reprint of hardcover 1st ed. 2009
Illustrations
265 Illustrations, black and white; X, 330 p. 265 illus.
Pages
330
Dimensions
156x234x18
ISBN-13
9783642100772
Product ID
10067288

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