Adaptive Networks

With some 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.

ISBN 3642012833   Volumes 1 ISBN13 9783642012839 (What's this?)   Weight (grammes) 754 Publisher Springer-Verlag Berlin and Heidelberg GmbH & Co. KG   Published in Berlin Imprint Springer-Verlag Berlin and Heidelberg GmbH & Co. K   Series title Understanding Complex Systems Format Hardback   Height (mm) 235 Publication date 31 Aug 2009   Width (mm) 155 DEWEY 003.72   Spine width (mm) 27 DEWEY edition DC22   Academic level Professional / Scholarly Pages 351

1		Adaptive Networks by Thilo Gross and Hiroki Sayama		1
Pt. I		Real-World Examples of Adaptive Networks
2		Social Group Dynamics in Networks by Gergely Palla and Peter Pollner and Albert-Laszlo Barabasi and Tamas Vicsek		11
3		Time-Dependent Complex Networks: Dynamic Centrality, Dynamic Motifs, and Cycles of Social Interactions by Dan Braha and Yaneer Bar-Yam		39
4		Adaptive Biological Networks by Mark D. Fricker and Lynne Boddy and Toshiyuki Nakagaki and Daniel P. Bebber		51
Pt. II		Self-Organization of Adaptive Networks
5		Self-Organized Criticality and Adaptation in Discrete Dynamical Networks by Thimo Rohlf and Stefan Bornholdt		73
6		Self-Organization and Complex Networks by Guido Caldarelli and Diego Garlaschelli		107
7		Self-Organization of Network Structure in Coupled-Map Systems by Junji Ito and Kunihiko Kaneko		137
8		Dynamical Optimization and Synchronization in Adaptive Complex Networks by Maoyin Chen and Jurgen Kurths		165
Pt. III		Contact Processes and Epidemiology on Adaptive Networks
9		Contact Processes and Moment Closure on Adaptive Networks by Anne-Ly Do and Thilo Gross		191
10		Noise Induced Dynamics in Adaptive Networks with Applications to Epidemiology by Leah B. Shaw and Ira B. Schwartz		209
Pt. IV		Social Games on Adaptive Networks
11		A Dynamic Model of Social Network Formation by Brian Skyrms and Robin Pemantle		231
12		Evolutionary Games in Self-Organizing Populations by Arne Traulsen and Francisco C. Santos and Jorge M. Pacheco		253
13		The Diplomat's Dilemma: Maximal Power for Minimal Effort in Social Networks by Petter Holme and Gourab Ghoshal		269
Pt. V		Graph-Rewriting-Based Approaches
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From the reviews: "The book contains an exhaustive overview of various examples of realistic adaptive networks, some theoretical arguments on their behaviour and some methodological tools that can be applied in various situations. It contains 14 contributions by influential authors in the field ! . the book contributors have a different disciplinary background gives to this book an interesting inter--disciplinary flavour that modellers in any field will appreciate." (Floriana Gargiulo, Journal of Artificial Societies and Social Simulation, Vol. 13 (1), 2010) "The volume articulates this perspective and provides a collection of groundbreaking research papers that illustrate its potential. ! The chapters are independent contributions, each with its own bibliography ! . However, the way the chapters were selected and organized leads to an overall flow that is easy to follow, and renders the volume an important and accessible reference for researchers." (H. Van Dyke Parunak, ACM Computing Reviews, January, 2010) "The volume would ! serve as a good introduction to, and overview of, research on adaptive networks for someone entering the field. ! contains fourteen invited contributions, plus an introductory chapter by the editors. ! Overall, Adaptive Networks is a solid collection that brings together diverse facets of an exciting and growing field with many opportunities for further research." (Nicholas Geard, Artificial Life, Vol. 16 (4), 2010)

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