Adaptive Networks : Theory, Models and Applications

Gross, Thilo (EDT); Sayama, Hiroki (EDT)

ISBN 10: 3642260144 ISBN 13: 9783642260148
Editore: Springer, 2012
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Adding one and one makes two, usually. But sometimes things add up to more than the sum of their parts. This observation, now frequently expressed in the maxim “more is different”, is one of the characteristic features of complex systems and, in particular, complex networks. Along with their ubiquity in real world systems, the ability of networks to exhibit emergent dynamics, once they reach a certain size, has rendered them highly attractive targets for research. The resulting network hype has made the word “network” one of the most in uential buzzwords seen in almost every corner of science, from physics and biology to economy and social sciences. The theme of “more is different” appears in a different way in the present v- ume, from the viewpoint of what we call “adaptive networks.” Adaptive networks uniquely combine dynamics on a network with dynamical adaptive changes of the underlying network topology, and thus they link classes of mechanisms that were previously studied in isolation. Here adding one and one certainly does not make two, but gives rise to a number of new phenomena, including highly robust se- organization of topology and dynamics and other remarkably rich dynamical beh- iors.

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With adaptive, complex networks, the evolution of the network topology and the dynamical processes on the network are equally important and often fundamentally entangled.

Recent research has shown that such networks can exhibit a plethora of new phenomena which are ultimately required to describe many real-world networks. Some of those phenomena include robust self-organization towards dynamical criticality, formation of complex global topologies based on simple, local rules, and the spontaneous division of "labor" in which an initially homogenous population of network nodes self-organizes into functionally distinct classes. These are just a few.

This book is a state-of-the-art survey of those unique networks. In it, leading researchers set out to define the future scope and direction of some of the most advanced developments in the vast field of complex network science and its applications.

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Titolo: Adaptive Networks : Theory, Models and ...
Casa editrice: Springer
Data di pubblicazione: 2012
Legatura: Brossura
Condizione: New

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Gross, Thilo|Sayama, Hiroki
ISBN 10: 3642260144 ISBN 13: 9783642260148
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This volume is a state-of-the-art introduction to and survey on adaptive networks, combining aspects of the evolution of networks and dynamics on networks Adding one and one makes two, usually. But sometimes things add up to more than the sum of . Codice articolo 5054090

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Taschenbuch. Condizione: Neu. Adaptive Networks | Theory, Models and Applications | Thilo Gross (u. a.) | Taschenbuch | xix | Englisch | 2012 | Springer | EAN 9783642260148 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Codice articolo 106590930

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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Adding one and one makes two, usually. But sometimes things add up to more than the sum of their parts. This observation, now frequently expressed in the maxim ¿more is different¿, is one of the characteristic features of complex systems and, in particular, complex networks. Along with their ubiquity in real world systems, the ability of networks to exhibit emergent dynamics, once they reach a certain size, has rendered them highly attractive targets for research. The resulting network hype has made the word ¿network¿ one of the most in uential buzzwords seen in almost every corner of science, from physics and biology to economy and social sciences. The theme of ¿more is different¿ appears in a different way in the present v- ume, from the viewpoint of what we call ¿adaptive networks.¿ Adaptive networks uniquely combine dynamics on a network with dynamical adaptive changes of the underlying network topology, and thus they link classes of mechanisms that were previously studied in isolation. Here adding one and one certainly does not make two, but gives rise to a number of new phenomena, including highly robust se- organization of topology and dynamics and other remarkably rich dynamical beh- iors.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 352 pp. Englisch. Codice articolo 9783642260148

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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Adding one and one makes two, usually. But sometimes things add up to more than the sum of their parts. This observation, now frequently expressed in the maxim 'more is different', is one of the characteristic features of complex systems and, in particular, complex networks. Along with their ubiquity in real world systems, the ability of networks to exhibit emergent dynamics, once they reach a certain size, has rendered them highly attractive targets for research. The resulting network hype has made the word 'network' one of the most in uential buzzwords seen in almost every corner of science, from physics and biology to economy and social sciences. The theme of 'more is different' appears in a different way in the present v- ume, from the viewpoint of what we call 'adaptive networks.' Adaptive networks uniquely combine dynamics on a network with dynamical adaptive changes of the underlying network topology, and thus they link classes of mechanisms that were previously studied in isolation. Here adding one and one certainly does not make two, but gives rise to a number of new phenomena, including highly robust se- organization of topology and dynamics and other remarkably rich dynamical beh- iors. Codice articolo 9783642260148

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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Adding one and one makes two, usually. But sometimes things add up to more than the sum of their parts. This observation, now frequently expressed in the maxim 'more is different', is one of the characteristic features of complex systems and, in particular, complex networks. Along with their ubiquity in real world systems, the ability of networks to exhibit emergent dynamics, once they reach a certain size, has rendered them highly attractive targets for research. The resulting network hype has made the word 'network' one of the most in uential buzzwords seen in almost every corner of science, from physics and biology to economy and social sciences. The theme of 'more is different' appears in a different way in the present v- ume, from the viewpoint of what we call 'adaptive networks.' Adaptive networks uniquely combine dynamics on a network with dynamical adaptive changes of the underlying network topology, and thus they link classes of mechanisms that were previously studied in isolation. Here adding one and one certainly does not make two, but gives rise to a number of new phenomena, including highly robust se- organization of topology and dynamics and other remarkably rich dynamical beh- iors. 352 pp. Englisch. Codice articolo 9783642260148

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