[PDF] Evolutionary Dynamics Of Complex Communications Networks eBook

Author : Vasileios Karyotis
Publisher : CRC Press
Page : 319 pages
File Size : 28,80 MB
Release : 2013-10-14
Category : Technology & Engineering
ISBN : 1466518405

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Until recently, most network design techniques employed a bottom-up approach with lower protocol layer mechanisms affecting the development of higher ones. This approach, however, has not yielded fascinating results in the case of wireless distributed networks. Addressing the emerging aspects of modern network analysis and design, Evolutionary Dynamics of Complex Communications Networks introduces and develops a top-bottom approach where elements of the higher layer can be exploited in modifying the lowest physical topology—closing the network design loop in an evolutionary fashion similar to that observed in natural processes. This book provides a complete overview of contemporary design approaches from the viewpoint of network science and complex/social network analysis. A significant part of the text focuses on the classification and analysis of various network modification mechanisms for wireless decentralized networks that exploit social features from relevant online social networks. Each chapter begins with learning objectives and introductory material and slowly builds to more detailed analysis and advanced concepts. Each chapter also identifies open issues, while by the end of the book, potential research directions are summarized for the more interested researcher or graduate student. The approach outlined in the book will help network designers and administrators increase the value of their infrastructure without requiring any significant additional investment. Topics covered include: basic network graph models and properties, cognitive methods and evolutionary computing, complex and social network analysis metrics and features, and analysis and development of the distinctive structure and features of complex networks. Considering all aspects of modern network analysis and design, the text covers the necessary material and background to make it a suitable source of reference for graduate students, postdoctoral researchers, and scientists

Author : Baosheng Yuan
Publisher :
Page : 10 pages
File Size : 26,16 MB
Release : 2007
Category :
ISBN :

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We use minority game model to investigate evolutionary dynamics in complex networks of adaptive agents competing for limited resources. We show that the dynamics and the associated phase structures critically depend on the underlying network organizations, and evolution is a key mechanism for the emergence of high-order coordination among the networked agents. A non-growing random directed network admits a clear phrase transition from a stable or quot;criticalquot; state to a quot;chaoticquot; state. In contrast, no such phrase transition has been detected in a growing directed network; Instead, it permits stable or quot;criticalquot; dynamics for all the connectivity. The dynamics of a scale-free directed network is found sensitive to its connectivity if a small fraction of link reversal is allowed in the network: The evolutionary dynamics exhibits a gradual phase transition from the stable (or quot;criticalquot;) state to the quot;chaoticquot; regime with increase of the connectivity number K; this suggests that the scale-free directed network is vulnerable to a small fraction of quot;errorsquot; in its network organization. The underlying sources for the emergence of these dynamics are the organizations of the networks and can be understood with a descendant clusters theory. Evolution dramatically enhances the performance of a system in a stable or quot;criticalquot; regime, but has no effect on a system in quot;chaoticquot; state; such attribute can be empowered to typify the dynamics of a complex network. The impact of evolution on system efficiency lies in its ability in reducing quot;crowdednessquot; of agents' strategies and can be explained by a crowd-anticrowd theory.

Author : Niloy Ganguly
Publisher : Springer Science & Business Media
Page : 310 pages
File Size : 11,9 MB
Release : 2009-04-14
Category : Computers
ISBN : 0817647503

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This self-contained book systematically explores the statistical dynamics on and of complex networks having relevance across a large number of scientific disciplines. The theories related to complex networks are increasingly being used by researchers for their usefulness in harnessing the most difficult problems of a particular discipline. The book is a collection of surveys and cutting-edge research contributions exploring the interdisciplinary relationship of dynamics on and of complex networks. Topics covered include complex networks found in nature—genetic pathways, ecological networks, linguistic systems, and social systems—as well as man-made systems such as the World Wide Web and peer-to-peer networks. The contributed chapters in this volume are intended to promote cross-fertilization in several research areas, and will be valuable to newcomers in the field, experienced researchers, practitioners, and graduate students interested in systems exhibiting an underlying complex network structure in disciplines such as computer science, biology, statistical physics, nonlinear dynamics, linguistics, and the social sciences.

Author : Loet Leydesdorff
Publisher : Springer Nature
Page : 248 pages
File Size : 14,31 MB
Release : 2021-01-01
Category : Social Science
ISBN : 3030599515

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This open access book addresses three themes which have been central to Leydesdorff's research: (1) the dynamics of science, technology, and innovation; (2) the scientometric operationalization of these concept; and (3) the elaboration in terms of a Triple Helix of university-industry-government relations. In this study, I discuss the relations among these themes. Using Luhmann's social-systems theory for modelling meaning processing and Shannon's theory for information processing, I show that synergy can add new options to an innovation system as redundancy. The capacity to develop new options is more important for innovation than past performance. Entertaining a model of possible future states makes a knowledge-based system increasingly anticipatory. The trade-off between the incursion of future states on the historical developments can be measured using the Triple-Helix synergy indicator. This is shown, for example, for the Italian national and regional systems of innovation.

Author : Ljupco Kocarev
Publisher : Springer Science & Business Media
Page : 380 pages
File Size : 22,84 MB
Release : 2005-06-13
Category : Computers
ISBN : 9783540243052

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Computer and communication networks are among society's most important infrastructures. The internet, in particular, is a giant global network of networks without central control or administration. It is a paradigm of a complex system, where complexity may arise from different sources: topological structure, network evolution, connection and node diversity, or dynamical evolution. The present volume is the first book entirely devoted to the new and emerging field of nonlinear dynamics of TCP/IP networks. It addresses both scientists and engineers working in the general field of communication networks.

Author : Yaneer Bar-yam
Publisher : CRC Press
Page : 866 pages
File Size : 15,64 MB
Release : 2019-03-04
Category : Mathematics
ISBN : 0429717598

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This book aims to develop models and modeling techniques that are useful when applied to all complex systems. It adopts both analytic tools and computer simulation. The book is intended for students and researchers with a variety of backgrounds.

Author : Catherine Anne Bliss
Publisher :
Page : 396 pages
File Size : 50,65 MB
Release : 2014
Category :
ISBN :

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Complex networks underlie a variety of social, biological, physical, and virtual systems. Understanding the topology of networks, the manner in which agents interact and evolutionary dynamics of the system can be challenging, both computationally and theoretically. In many settings, network data is incomplete; it is impossible to observe all nodes and all network interactions due to samplingconstraintsin large datasets or covert interactions between agents.

Author : Jinhu Lü
Publisher : Springer
Page : 482 pages
File Size : 27,68 MB
Release : 2016-08-23
Category : Technology & Engineering
ISBN : 9783662507445

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This elementary book provides some state-of-the-art research results on broad disciplinary sciences on complex networks. It presents an in-depth study with detailed description of dynamics, controls and applications of complex networks. The contents of this book can be summarized as follows. First, the dynamics of complex networks, for example, the cluster dynamic analysis by using kernel spectral methods, community detection algorithms in bipartite networks, epidemiological modeling with demographics and epidemic spreading on multi-layer networks, are studied. Second, the controls of complex networks are investigated including topics like distributed finite-time cooperative control of multi-agent systems by applying homogenous-degree and Lyapunov methods, composite finite-time containment control for disturbed second-order multi-agent systems, fractional-order observer design of multi-agent systems, chaos control and anticontrol of complex systems via Parrondos game and many more. Third, the applications of complex networks provide some applicable carriers, which show the importance of theories developed in complex networks. In particular, a general model for studying time evolution of transition networks, deflection routing in complex networks, recommender systems for social networks analysis and mining, strategy selection in networked evolutionary games, integration and methods in computational biology, are discussed in detail.

Author : Ljupco Kocarev
Publisher : Springer
Page : 362 pages
File Size : 42,24 MB
Release : 2009-09-02
Category : Computers
ISBN : 9783540806790

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Computer and communication networks are among society's most important infrastructures. The internet, in particular, is a giant global network of networks with central control or administration. It is a paradigm of a complex system, where complexity may arise from different sources: topological structure, network evolution, connection and node diversity, and /or dynamical evolution. This is the first book entirely devoted to the new and emerging field of nonlinear dynamics of TCP/IP networks. It addresses both scientists and engineers working in the general field of communication networks.