Multilayer networks' has become a central topic in Network Science. The book presents a comprehensive account of this emerging field. Multilayer networks are formed by several networks and include social networks, financial markets, multi-modal transportation systems, infrastructures, molecular networks and the brain.--
This book addresses synchronization in networks of coupled systems. It illustrates the main aspects of the phenomenon through concise theoretical results and code, allowing readers to reproduce them and encouraging readers to pursue their own experimentation. The book begins by introducing the mathematical representation of nonlinear circuits and the code for their simulation. This is followed by a brief account of the concept of the complex network, which describes the main aspects of complex networks and the main model types, with a particular focus on the code used to study and reproduce the models. The focus then shifts to the process through which independent nonlinear circuits that follow different trajectories without coupling share some properties of their motion: synchronization. The authors present the main techniques for studying synchronization in complex networks, including the major measures, the stability properties and control techniques. The book then moves on to advanced topics in synchronization of complex networks by examining forms of synchronization in which not all the units share the same trajectory, namely chimera states, clustering synchronization, and relay and remote synchronization. Simple codes for experimentation with these topics and control methods are also provided. In closing, the book addresses the problem of synchronization in time-varying networks.
Never has the need for reliable internetworking been greater, yet with networks now comprising differing operating systems, hardware, and software, achieving a reliable network has never been more complex. Network planners and managers face a multitude of difficult decisions-decisions made even more difficult by the need for knowledge from a variety of disciplines. To meet that need, renowned author Gilbert Held assembled a panel of expert practitioners to bring you Network Design: Principles and Applications-a comprehensive, single-source reference for network and IT managers. Beginning with the basics of LANs and WANs, it offers in-depth coverage of modern network planning, design, and optimization. Virtual Private Networks, intranets, and extranets all receive detailed treatment, as do traffic analysis and performance, migration issues, tools, techniques, and network security. Finally, the future of your network and perhaps your job may depend on your knowledge of still evolving network technologies. Network Design: Principles and Applications provides that knowledge with chapters addressing current trends, including IDSL, cable modems, voice and video over LANs, and voice and fax over IP. Network Design: Principles and Applications is one reference that belongs on the shelf of every network and IT manager. The planning and implementation strategies presented will help you create flexible networks that meet performance goals but at the same time allow for the leveraging of new and maturing technologies.
Applications to Biology, Computer Science, and the Social Sciences
Author: Niloy Ganguly
Publisher: Springer Science & Business Media
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.
How are our societies being transformed by internet and digital economics? This book provides an accessible introduction to the economics of the internet and a comprehensive account of the mechanisms of the digital economy. Leading scholars examine the original economic and business models being developed as a result of the internet system, and explore their impact on our economies and societies. Key issues are analysed, including the development of open source software and on-line communities, peer-to-peer and online sharing of cultural goods, electronic markets and the rise of new information intermediaries, e-retailing and e-banking. The volume examines how internet and digital economics have transformed the organization of firms, industries, markets, commerce, modes of distribution, money, finance, and innovation processes, and provides the analytical tools to understand both these recent transformations and the likely future directions of the 'New Economy'.
Addressing the fundamental technologies and theories associated with designing complex communications systems and networks, Principles of Communications Networks and Systems provides models and analytical methods for evaluating their performance. Including both the physical layer (digital transmission and modulation) and networking topics, the quality of service concepts belonging to the different layers of the protocol stack are interrelated to form a comprehensive picture. The book is designed to present the material in an accessible but rigorous manner. It jointly addresses networking and transmission aspects following a unified approach and using a bottom up style of presentation, starting from requirements on transmission links all the way up to the corresponding quality of service at network and application layers. The focus is on presenting the material in an integrated and systematic fashion so that students will have a clear view of all the principal aspects and of how they interconnect with each other. A comprehensive introduction to communications systems and networks, addressing both network and transmission topics Structured for effective learning, with basic principles and technologies being introduced before more advanced ones are explained Features examples of existing systems and recent standards as well as advanced digital modulation techniques such as CDMA and OFDM Contains tools to help the reader in the design and performance analysis of modern communications systems Provides problems at the end of each chapter, with answers on an accompanying website
Complex interacting networks are observed in systems from such diverse areas as physics, biology, economics, ecology, and computer science. For example, economic or social interactions often organize themselves in complex network structures. Similar phenomena are observed in traffic flow and in communication networks as the internet. In current problems of the Biosciences, prominent examples are protein networks in the living cell, as well as molecular networks in the genome. On larger scales one finds networks of cells as in neural networks, up to the scale of organisms in ecological food webs. This book defines the field of complex interacting networks in its infancy and presents the dynamics of networks and their structure as a key concept across disciplines. The contributions present common underlying principles of network dynamics and their theoretical description and are of interest to specialists as well as to the non-specialized reader looking for an introduction to this new exciting field. Theoretical concepts include modeling networks as dynamical systems with numerical methods and new graph theoretical methods, but also focus on networks that change their topology as in morphogenesis and self-organization. The authors offer concepts to model network structures and dynamics, focussing on approaches applicable across disciplines.
Proceedings of the 2nd International Workshop, CIMA 2010, France, October 2010
Author: Ioannis Hatzilygeroudis
Publisher: Springer Science & Business Media
The combination of different intelligent methods is a very active research area in Artificial Intelligence (AI). The aim is to create integrated or hybrid methods that benefit from each of their components. Some of the existing efforts combine soft computing methods either among themselves or with more traditional AI methods such as logic and rules. Another stream of efforts integrates machine learning with soft-computing or traditional AI methods. Yet another integrates agent-based approaches with logic and also non-symbolic approaches. Some of the combinations have been quite important and more extensively used, like neuro-symbolic methods, neuro-fuzzy methods and methods combining rule-based and case-based reasoning. However, there are other combinations that are still under investigation, such as those related to the Semantic Web. The 2nd Workshop on “Combinations of Intelligent Methods and Applications” (CIMA 2010) was intended to become a forum for exchanging experience and ideas among researchers and practitioners who are dealing with combining intelligent methods either based on first principles or in the context of specific applications. CIMA 2010 was held in conjunction with the 22nd IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2010). Also, a special track was organized in ICTAI 2010, under the same title. This volume includes revised versions of the papers presented in CIMA 2010 and one of the short papers presented in the corresponding ICTAI 2010 special track. It also includes a paper of the editors as invited.
This book deals with the analysis of the structure of complex networks by combining results from graph theory, physics, and pattern recognition. The book is divided into two parts. 11 chapters are dedicated to the development of theoretical tools for the structural analysis of networks, and 7 chapters are illustrating, in a critical way, applications of these tools to real-world scenarios. The first chapters provide detailed coverage of adjacency and metric and topological properties of networks, followed by chapters devoted to the analysis of individual fragments and fragment-based global invariants in complex networks. Chapters that analyse the concepts of communicability, centrality, bipartivity, expansibility and communities in networks follow. The second part of this book is devoted to the analysis of genetic, protein residue, protein-protein interaction, intercellular, ecological and socio-economic networks, including important breakthroughs as well as examples of the misuse of structural concepts.