Complex Networks

The book provides a practical guide to computational scientists and engineers to help advance their research by exploiting the superpower of supercomputers with many processors and complex networks. T

This highly interdisciplinary 2007 book highlights many of the ways in which chemistry plays a crucial role in making life an evolutionary possibility in the universe. Cosmologists and particle physicists have often explored how the observed laws and constants of nature lie within a narrow range that allows complexity and life to evolve and adapt. Here, these anthropic considerations are diversified in a host of new ways to identify the most sensitive features of biochemistry and astrobiology. Celebrating the classic 1913 work of Lawrence J. Henderson, The Fitness of the Environment for Life, this book looks at the delicate balance between chemistry and the ambient conditions in the universe that permit complex chemical networks and structures to exist. It will appeal to a broad range of scientists, academics, and others interested in the origin and existence of life in our universe.

In ecosystems with many species, food webs form highly complex networks of resource-consumer interactions. At the same time, the food web as itself needs sufficient resources to develop and survive. S

In ecosystems with many species, food webs form highly complex networks of resource-consumer interactions. At the same time, the food web as itself needs sufficient resources to develop and survive. S

Explore the multidisciplinary nature of complex networks through machine learning techniquesStatistical and Machine Learning Approaches for Network Analysis provides an accessible framework for struct

What are the evolutionary mechanisms and ecological implications behind a pollinator choosing its favourite flower? Sixty-five million years of evolution has created the complex and integrated system which we see today and understanding the interactions involved is key to environmental sustainability. Examining pollination relationships from an evolutionary perspective, this book covers both botanical and zoological aspects. It addresses the puzzling question of co-speciation and co-evolution and the complexity of the relationships between plant and pollinator, the development of which is examined through the fossil record. Additional chapters are dedicated to the evolution of floral displays and signalling, as well as their role in pollination syndromes and the building of pollination networks. Wide-ranging in its coverage, it outlines current knowledge and complex emerging topics, demonstrating how advances in research methods are applied to pollination biology.

Self-organising networks have become the dominant innovators of complex technologies and radical innovation. The growing need for co-operation to ensure innovation success calls for a broader understa

The book presents some key mathematical tools for the performance analysis of communication networks and computer systems.Communication networks and computer systems have become extremely complex. The

Focusing on colonial Kenya, this book shows how conflicts between state authorities and Africans over witchcraft-related crimes provided an important space in which the meanings of justice, law and order in the empire were debated. Katherine Luongo discusses the emergence of imperial networks of knowledge about witchcraft. She then demonstrates how colonial concerns about witchcraft produced an elaborate body of jurisprudence about capital crimes. The book analyzes the legal wrangling that produced the Witchcraft Ordinances in the 1910s, the birth of an anthro-administrative complex surrounding witchcraft in the 1920s, the hotly contested Wakamba Witch Trials of the 1930s, the explosive growth of legal opinion on witch-murder in the 1940s, and the unprecedented state-sponsored cleansings of witches and Mau Mau adherents during the 1950s. A work of anthropological history, this book develops an ethnography of Kamba witchcraft or uoi.

Econophysics is an emerging interdisciplinary field that takes advantage of the concepts and methods of statistical physics to analyse economic phenomena. This book expands the explanatory scope of econophysics to the real economy by using methods from statistical physics to analyse the success and failure of companies. Using large data sets of companies and income-earners in Japan and Europe, a distinguished team of researchers show how these methods allow us to analyse companies, from huge corporations to small firms, as heterogeneous agents interacting at multiple layers of complex networks. They then show how successful this approach is in explaining a wide range of recent findings relating to the dynamics of companies. With mathematics kept to a minimum, the book is not only a lively introduction to the field of econophysics but also provides fresh insights into company behaviour.

The nervous system is made up of a large number of interacting elements. To understand how such a complex system functions requires the construction and analysis of computational models at many different levels. This book provides a step-by-step account of how to model the neuron and neural circuitry to understand the nervous system at all levels, from ion channels to networks. Starting with a simple model of the neuron as an electrical circuit, gradually more details are added to include the effects of neuronal morphology, synapses, ion channels and intracellular signalling. The principle of abstraction is explained through chapters on simplifying models, and how simplified models can be used in networks. This theme is continued in a final chapter on modelling the development of the nervous system. Requiring an elementary background in neuroscience and some high school mathematics, this textbook is an ideal basis for a course on computational neuroscience.

Designing distributed computing systems is a complex process requiring a solid understanding of the design problems and the theoretical and practical aspects of their solutions. This comprehensive textbook covers the fundamental principles and models underlying the theory, algorithms and systems aspects of distributed computing. Broad and detailed coverage of the theory is balanced with practical systems-related issues such as mutual exclusion, deadlock detection, authentication, and failure recovery. Algorithms are carefully selected, lucidly presented, and described without complex proofs. Simple explanations and illustrations are used to elucidate the algorithms. Important emerging topics such as peer-to-peer networks and network security are also considered. With vital algorithms, numerous illustrations, examples and homework problems, this textbook is suitable for advanced undergraduate and graduate students of electrical and computer engineering and computer science. Practitioner

Aimed at graduate students, this book explores some of the core phenomena in non-equilibrium statistical physics. It focuses on the development and application of theoretical methods to help students develop their problem-solving skills. The book begins with microscopic transport processes: diffusion, collision-driven phenomena, and exclusion. It then presents the kinetics of aggregation, fragmentation and adsorption, where the basic phenomenology and solution techniques are emphasized. The following chapters cover kinetic spin systems, both from a discrete and a continuum perspective, the role of disorder in non-equilibrium processes, hysteresis from the non-equilibrium perspective, the kinetics of chemical reactions, and the properties of complex networks. The book contains 200 exercises to test students' understanding of the subject. A link to a website hosted by the authors, containing supplementary material including solutions to some of the exercises, can be found at www.cambridg

Joseph Banks is one of the most significant figures of the English Enlightenment. This book places his work in promoting 'imperial science', in the context of the consolidation of the British State during a time of extraordinary upheaval. The American, French and Industrial Revolutions unleashed intense and dramatic change, placing growing pressure on the British state and increasing its need for expert advice on scientific matters. This was largely provided by Banks, who used his personal networks and systems of patronage to integrate scientific concerns with the complex machinery of government. In this book, originally published in 1998, Gascoigne skilfully draws out the rich detail of Banks' life within the broader political framework, and shows how imperial concerns prompted interest in the possible uses of science for economic and strategic gain. This is an important examination of the British State during a time of change and upheaval.

Bayesian decision analysis supports principled decision making in complex domains. This textbook takes the reader from a formal analysis of simple decision problems to a careful analysis of the sometimes very complex and data rich structures confronted by practitioners. The book contains basic material on subjective probability theory and multi-attribute utility theory, event and decision trees, Bayesian networks, influence diagrams and causal Bayesian networks. The author demonstrates when and how the theory can be successfully applied to a given decision problem, how data can be sampled and expert judgements elicited to support this analysis, and when and how an effective Bayesian decision analysis can be implemented. Evolving from a third-year undergraduate course taught by the author over many years, all of the material in this book will be accessible to a student who has completed introductory courses in probability and mathematical statistics.

This collection of seventeen articles on technological implementations of Actor-Network Theory (ANT) showcases current scholarship at the nexus of societal, complex systems and computer networks. The

It is widely recognized that social movements may spread - or 'diffuse' - from one site to another. Such diffusion, however, is a complex and multidimensional process that involves different actors, networks, and mechanisms. This complexity has spawned a large body of literature on different aspects of the diffusion process, yet a comprehensive framework remains an elusive target. This book is a response to that need, and its framework focuses on three basic analytical questions. First, what is being diffused? Second, how does diffusion occur? Finally, what is the impact of diffusion on organizational development and shifts in the scale of contentious politics? This volume suggests that diffusion is not a simple matter of political contagion or imitation; rather, it is a creative and strategic process marked by political learning, adaptation, and innovation.

It is widely recognized that social movements may spread - or 'diffuse' - from one site to another. Such diffusion, however, is a complex and multidimensional process that involves different actors, networks, and mechanisms. This complexity has spawned a large body of literature on different aspects of the diffusion process, yet a comprehensive framework remains an elusive target. This book is a response to that need, and its framework focuses on three basic analytical questions. First, what is being diffused? Second, how does diffusion occur? Finally, what is the impact of diffusion on organizational development and shifts in the scale of contentious politics? This volume suggests that diffusion is not a simple matter of political contagion or imitation; rather, it is a creative and strategic process marked by political learning, adaptation, and innovation.

This 2002 book investigates the opportunities in building intelligent decision support systems offered by multi-agent distributed probabilistic reasoning. Probabilistic reasoning with graphical models, also known as Bayesian networks or belief networks, has become increasingly an active field of research and practice in artificial intelligence, operations research and statistics. The success of this technique in modeling intelligent decision support systems under the centralized and single-agent paradigm has been striking. Yang Xiang extends graphical dependence models to the distributed and multi-agent paradigm. He identifies the major technical challenges involved in such an endeavor and presents the results. The framework developed in the book allows distributed representation of uncertain knowledge on a large and complex environment embedded in multiple cooperative agents, and effective, exact and distributed probabilistic inference.

State authority and power have become diffused in an increasingly globalized world characterized by the freer trans-border movement of people, objects and ideas. As a result, some international law scholars believe that a new world order is emerging based on a complex web of transnational networks. Such a transnational legal order requires sufficient dialogue between national courts. This 2010 book explores the prospects for such an order in the context of refugee law in Europe, focusing on the use of foreign law in refugee cases. Judicial practice is critically analysed in nine EU member states, with case studies revealing a mix of rational and cultural factors that lead judges to rarely use each others' decisions within the EU. Conclusions are drawn for the prospects of a Common European Asylum System and for international refugee law.

In this first environmental history of the gold rush, Kathryn Morse describes how the miners got to the Klondike, the mining technologies they employed, and the complex networks by which they obtaine

Whether a business's network is a complex carrier network or just a few machines supporting a small enterprise, "JUNOS High Availability" can help developers to build reliable and resilient networks t

Sure to be influential, this book lays the foundations for the use of algebraic geometry in statistical learning theory. Many widely used statistical models and learning machines applied to information science have a parameter space that is singular: mixture models, neural networks, HMMs, Bayesian networks, and stochastic context-free grammars are major examples. Algebraic geometry and singularity theory provide the necessary tools for studying such non-smooth models. Four main formulas are established: 1. the log likelihood function can be given a common standard form using resolution of singularities, even applied to more complex models; 2. the asymptotic behaviour of the marginal likelihood or 'the evidence' is derived based on zeta function theory; 3. new methods are derived to estimate the generalization errors in Bayes and Gibbs estimations from training errors; 4. the generalization errors of maximum likelihood and a posteriori methods are clarified by empirical process theory o

Many exciting frontiers of science and engineering require understanding the spatiotemporal properties of sustained nonequilibrium systems such as fluids, plasmas, reacting and diffusing chemicals, crystals solidifying from a melt, heart muscle, and networks of excitable neurons in brains. This introductory textbook for graduate students in biology, chemistry, engineering, mathematics, and physics provides a systematic account of the basic science common to these diverse areas. This book provides a careful pedagogical motivation of key concepts, discusses why diverse nonequilibrium systems often show similar patterns and dynamics, and gives a balanced discussion of the role of experiments, simulation, and analytics. It contains numerous worked examples and over 150 exercises. This book will also interest scientists who want to learn about the experiments, simulations, and theory that explain how complex patterns form in sustained nonequilibrium systems.

When this book was first published in 1991, developments in the study of theoretical ecology had led to the appearance of more complex concepts in ecosystem theory. As a result, ecosystems may be viewed as networks of coexisting living organisms and their non-living milieu which result in the transfer and transformation of material, energy and information. This book presents a comprehensive overview of these ideas, bringing together in a single volume a diverse range of viewpoints and approaches. Similarities and difference between these viewpoints are clarified, controversial issues addressed and problems for investigation identified. Because of its diverse and comprehensive nature, a wide range of ecological and environmental scientists, including theoretical as well as field ecologists, modellers, managers and policy makers, will find this book an invaluable asset in dealing more effectively with truly complex and realistic ecosystems networks. The book is also intended for use by g

Our lives increasingly take place in ever more complex and interconnected networks that blur the boundaries we have traditionally used to define our social and political spaces. Accordingly, the polic

Soft Computing is a complex of methodologies that includes artificial neural networks, genetic algorithms, fuzzy logic, Bayesian networks, and their hybrids. It admits approximate reasoning, imprecisi

Trade flows, cities and kinship relations can all be seen as elements of complex networks. In this collection of essays, all of which deal with Asia, we argue that there are good reasons to envisage t

There is increasing need to solve large-scale complex optimization problems in a wide variety of science and engineering applications, including designing telecommunication networks for multimedia tr

Like the complex systems of man-made power lines that transmit electricity and connect people and places, feminist alliances are elaborate networks that have the potential to provide access to instit

Like the complex systems of man-made power lines that transmit electricity and connect people and places, feminist alliances are elaborate networks that have the potential to provide access to instit

Dickens's London often acts as a complex symbol, composed of numerous sub-symbols, such as crowd, river, railway networks and police systems. This book is particularly interested in how Dickens's trea

This highly interdisciplinary 2007 book highlights many of the ways in which chemistry plays a crucial role in making life an evolutionary possibility in the universe. Cosmologists and particle physicists have often explored how the observed laws and constants of nature lie within a narrow range that allows complexity and life to evolve and adapt. Here, these anthropic considerations are diversified in a host of new ways to identify the most sensitive features of biochemistry and astrobiology. Celebrating the classic 1913 work of Lawrence J. Henderson, The Fitness of the Environment for Life, this book looks at the delicate balance between chemistry and the ambient conditions in the universe that permit complex chemical networks and structures to exist. It will appeal to a broad range of scientists, academics, and others interested in the origin and existence of life in our universe.

Brian Goodwin, author of How the Leopard Changed Its Spots, argues for a view of nature as complex, interrelated networks of relationships. He proposes that, in order for us to once again work with na

Sidney Bunting's life offers a unique perspective on the British Empire, illustrating the complex social networks and values that were carried across the world in the name of empire. Drawing on archiv

In this highly original work, Christopher Kelly paints a remarkable picture of running a superstate. He portrays a complex system of government openly regulated by networks of personal influence and t

From extending successful brands into exotic new markets to tapping talent in virtual teams to building ultra-complex supplier and distributor networks, today's executives and managers must consider t

From extending successful brands into exotic new markets to tapping talent in "virtual" teams and building ultra-complex supplier and distributor networks, today's executives and managers must consid

This excellent title introduces the concept of mission-oriented sensor networks as distributed dynamic systems of interacting sensing devices that are networked to jointly execute complex real-time mi

This major comparative study of the social mobility of ethnic minorities in the US and UK argues that social mobility must be understood as a complex and multi-dimensional phenomenon, incorporating the wealth and income of groups, but also their political power and social recognition. Written by leading sociologists, economists, political scientists, geographers, and philosophers in both countries, the volume addresses issues as diverse as education, work and employment, residential concentration, political mobilisation, public policy and social networks, while drawing larger lessons about the meaning of race and inequality in the two countries. While finding that there are important similarities in the experience of ethnic, and especially immigrant, groups in the two countries, the volume also concludes that the differences between the US and UK, especially in the case of American blacks, are equally important.