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Innovation Networks: New Approaches in Modelling and Analyzing (Understanding Complex Systems) - Andreas Pyka, Andrea Scharnhorst
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Andreas Pyka, Andrea Scharnhorst:

Innovation Networks: New Approaches in Modelling and Analyzing (Understanding Complex Systems) - gebunden oder broschiert

2009, ISBN: 3540922660

[SR: 3484135], Hardcover, [EAN: 9783540922667], Springer, Springer, Book, [PU: Springer], 2009-05-25, Springer, 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., 268178, Theory & Philosophy, 268153, Economics, 68, Business, Finance & Law, 1025612, Subjects, 266239, Books, 268292, Decision Making, 659930, Management Skills, 268290, Management, 68, Business, Finance & Law, 1025612, Subjects, 266239, Books, 268296, Operational Research, 268290, Management, 68, Business, Finance & Law, 1025612, Subjects, 266239, Books, 922390, Engineering Physics, 278115, Engineering & Technology, 57, Science & Nature, 1025612, Subjects, 266239, Books, 922858, Chaos & Dynamic Systems, 278409, Physics, 57, Science & Nature, 1025612, Subjects, 266239, Books, 922852, Philosophy of Physics, 278409, Physics, 57, Science & Nature, 1025612, Subjects, 266239, Books, 922952, Physics, 277889, Cosmology, 278439, Relativity, 922868, Popular Science, 57, Science & Nature, 1025612, Subjects, 266239, Books, 564354, Physics, 571024, Applied Physics, 570990, Electricity, Magnetism & Electromagnetism, 571010, Mechanics, 570994, Particle Physics, 571004, Quantum Mechanics, 570600, Theoretical Physics, 564334, Scientific, Technical & Medical, 1025612, Subjects, 266239, Books, 276468, Methodology, 496644, Methodology & Research, 276411, Social Sciences, 60, Society, Politics & Philosophy, 1025612, Subjects, 266239, Books

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Innovation Networks: New Approaches in Modelling and Analyzing (Understanding Complex Systems) - Andreas Pyka, Andrea Scharnhorst
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
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Andreas Pyka, Andrea Scharnhorst:

Innovation Networks: New Approaches in Modelling and Analyzing (Understanding Complex Systems) - gebunden oder broschiert

2009, ISBN: 3540922660

[SR: 3484135], Hardcover, [EAN: 9783540922667], Springer, Springer, Book, [PU: Springer], 2009-05-25, Springer, 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., 268178, Theory & Philosophy, 268153, Economics, 68, Business, Finance & Law, 1025612, Subjects, 266239, Books, 268292, Decision Making, 659930, Management Skills, 268290, Management, 68, Business, Finance & Law, 1025612, Subjects, 266239, Books, 268296, Operational Research, 268290, Management, 68, Business, Finance & Law, 1025612, Subjects, 266239, Books, 922390, Engineering Physics, 278115, Engineering & Technology, 57, Science & Nature, 1025612, Subjects, 266239, Books, 922858, Chaos & Dynamic Systems, 278409, Physics, 57, Science & Nature, 1025612, Subjects, 266239, Books, 922852, Philosophy of Physics, 278409, Physics, 57, Science & Nature, 1025612, Subjects, 266239, Books, 922952, Physics, 277889, Cosmology, 278439, Relativity, 922868, Popular Science, 57, Science & Nature, 1025612, Subjects, 266239, Books, 564354, Physics, 571024, Applied Physics, 570990, Electricity, Magnetism & Electromagnetism, 571010, Mechanics, 570994, Particle Physics, 571004, Quantum Mechanics, 570600, Theoretical Physics, 564334, Scientific, Technical & Medical, 1025612, Subjects, 266239, Books, 276468, Methodology, 496644, Methodology & Research, 276411, Social Sciences, 60, Society, Politics & Philosophy, 1025612, Subjects, 266239, Books

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ISBN: 9783540922667

[ED: Buch], [PU: Springer-Verlag GmbH], Neuware - 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., [SC: 0.00], Neuware, gewerbliches Angebot, FixedPrice, [GW: 672g]

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Innovation Networks - Herausgeber: Scharnhorst, Andrea, Pyka, Andreas
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Innovation Networks - gebunden oder broschiert

2009, ISBN: 9783540922667

[ED: Hardcover], [PU: Springer, Berlin], The science of graphs and networks has become by now a well-established tool for modelling and analyzing a variety of systems with a large number of interacting components. Starting from the physical sciences, applications have spread rapidly to the natural and social sciences, as well as to economics, and are now further extended, in this volume, to the concept of innovations, viewed broadly. In an abstract, systems-theoretical approach, innovation can be understood as a critical event which destabilizes the current state of the system, and results in a new process of self-organization leading to a new stable state. The contributions to this anthology address different aspects of the relationship between innovation and networks. The various chapters incorporate approaches in evolutionary economics, agent-based modeling, social network analysis and econophysics and explore the epistemic tension between insights into economics and society-related processes, and the insights into new forms of complex dynamics. 2009. x, 330 S. 265 SW-Abb., 20 Tabellen. 235 mm Sofort lieferbar, [SC: 0.00], Neuware, gewerbliches Angebot

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ISBN: 9783540922667

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Economics; Economic Theory/Quantitative Economics/Mathematical Methods; Complex Systems; Methodology of the Social Sciences; Engineering Economics, Organization, Logistics, Marketing; Communications Engineering, Networks; Operation Research/Decision Theory Evolution, Innovation, agent-based model, agent-based modeling, agents, calculus, dynamics, economics, evolutionary economics, knowledge networks, modeling, social network analysis, social networks, statistical physics, system Books Book, Springer Science+Business Media

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Details zum Buch
Innovation Networks
Autor:

Andreas Pyka

Titel:

Innovation Networks

ISBN-Nummer:

9783540922667

The science of graphs and networks has become by now a well-established tool for modelling and analyzing a variety of systems with a large number of interacting components. Starting from the physical sciences, applications have spread rapidly to the natural and social sciences, as well as to economics, and are now further extended, in this volume, to the concept of innovations, viewed broadly. In an abstract, systems-theoretical approach, innovation can be understood as a critical event which destabilizes the current state of the system, and results in a new process of self-organization leading to a new stable state. The contributions to this anthology address different aspects of the relationship between innovation and networks. The various chapters incorporate approaches in evolutionary economics, agent-based modeling, social network analysis and econophysics and explore the epistemic tension between insights into economics and society-related processes, and the insights into new forms of complex dynamics.

Detailangaben zum Buch - Innovation Networks


EAN (ISBN-13): 9783540922667
ISBN (ISBN-10): 3540922660
Gebundene Ausgabe
Erscheinungsjahr: 2009
Herausgeber: Springer-Verlag GmbH
330 Seiten
Gewicht: 0,672 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 30.04.2007 01:12:30
Buch zuletzt gefunden am 17.01.2017 17:46:30
ISBN/EAN: 9783540922667

ISBN - alternative Schreibweisen:
3-540-92266-0, 978-3-540-92266-7

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