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Illustrates relational approaches to the study of social movements and collective action. Contributors analyse most recent developments in the analysis of the role of networks as facilitators or constraints of individual recruitment, various forms of interorganizational networks, and the relationship between social networks and the political context in which social movements operate. They also relate the growing attention to social networks by social movement analysis to broader theoretical debates. Both quantitative and qualitative network analysis are considered, and attention is paid to the time dimension and the evolution of networks, through both simulation models and empirical data. Empirical chapters cover both contemporary and historical episodes of collective action, in reference to authoritarian as well as progressive, left‐libertarian movements. Chapters focusing on individual networks specify different effects of network embeddedness over participation in different types of collective action (Passy, Anheier). Interorganizational relations are explored by looking at leadership dynamics (Diani), the relationship between categorical traits and network position within coalitions (Ansell), and the role of individuals in linking different organizations both synchronically and diachronically (Osa). Network approaches to the political process illustrate shifts in alliance and conflict networks at a time of regime change (Tilly and Wood), the evolution of social networks during protest cycles (Oliver and Myers), and the role of local elites in shaping protest networks in the community (Broadbent). Theoretical chapters discuss network perspectives on social movements in relation to recent theoretical developments in rational choice theory (Gould), cultural analysis (Mische), and the analysis of social mechanisms (McAdam). A radical case is also made for a reorientation of the whole social movement agenda along network lines (Diani).

This book introduces a powerful new concept to the business world — Collaborative Innovation Networks (COINs). COINs have been around for hundreds of years, and many of us have already been a part of a COIN without knowing it. What makes COINs so relevant today is that the concept has reached its tipping point, thanks to the communication capabilities of the Internet and the World Wide Web. A COIN is a cyberteam of self-motivated people with a collective vision, enabled by technology to collaborate in achieving a common goal — an innovation — by sharing ideas, information, and work. Working this way is key to successful innovation, and it is no exaggeration to state that COINs are the most productive engines of innovation ever. This book explores why COINs are so important to business success in the new century. It explains the traits that characterize COIN members and COIN behavior. It makes the case for why businesses ought to be rushing to uncover their COINs and nurture them, and provides tools for building organizations that are more creative, productive, and efficient by applying principles of creative collaboration, knowledge sharing, and social networking. Through real-life examples of COINs in several business sectors, the book shows how to leverage COINs to develop successful products in R&D, grow better customer relationships, establish better project management processes, and build higher-performing teams. There is even a method offered for locating, analyzing, and measuring the impact of COINs on an organization.

This book provides an introduction to, and analysis of, the use of Bayesian nets in causal modelling. It puts forward new conceptual foundations for causal network modelling: The book argues that probability and causality need to be interpreted as epistemic notions in order for the key assumptions behind causal models to hold. Under the epistemic view, probability and causality are understood in terms of the beliefs an agent ought to adopt. The book develops an objective Bayesian notion of probability and a corresponding epistemic theory of causality. This yields a general framework for causal modelling, which is extended to cope with recursive causal relations, logically complex beliefs and changes in an agent's language.

For over two hundred years of narrative culture, when female characters try to get together, crazy things happen. Indeed, the greater the means at women’s disposal, the more severe and twisted is the anxious reaction. But behind this broad anxiety lurks a powerful ideal of sympathetic and strategic female networks, an ideal that takes its intimate shape from the expectations of communications media, and that underwrites the very culture that would deny it. The book examines novelistic culture from the British novel to Hollywood film as a series of responses to the threat and promise of female networks. In texts from Clarissa, Emma, and The Portrait of a Lady to Sorry, Wrong Number, Vertigo, and You’ve Got Mail, it argues that a recurring gothic nightmare haunts plots of courtship and marriage, and that the concept of female networks illuminates the exits, for culture and criticism alike. And while this study must of necessity visit an uncanny realm of lost messages and false suitors, telepathy and artificial intelligence, locked rooms and time-traveling stalkers, these occult concerns only confirm the power at stake in the most basic modes of female communication, in gossip, letters, and phones.

With the opening of sea routes in the 15th century, groups of men and women left Portugal to establish themselves across the ports and cities of the Atlantic or Ocean Sea. They were refugees and migrants, traders and mariners, Jews, Catholics, and the Marranos of mixed Judaic-Catholic culture. They formed a diasporic community known by contemporaries as the Portuguese Nation. By the early 17th century, this nation without a state had created a remarkable trading network that spanned the Atlantic, reached into the Indian Ocean and Asia, and generated millions of pesos that were used to bankroll the Spanish Empire. This book traces the story of the Portuguese Nation from its emergence in the late 15th century to its fragmentation in the middle of the 17th, and situates it in relation to the parallel expansion and crisis of Spanish imperial dominion in the Atlantic. Against the backdrop of this relationship, the book reconstitutes the rich inner life of a community based on movement, maritime trade, and cultural hybridity. We are introduced to mariners and traders in such disparate places as Lima, Seville and Amsterdam, their day-to-day interactions and understandings, their houses and domestic relations, private reflections and public arguments. This account reveals how the Portuguese Nation created a cohesive and meaningful community despite the mobility and dispersion of its members; how its forms of sociability fed into the development of robust transatlantic commercial networks; and how the day-to-day experience of trade was translated into the sphere of Spanish imperial politics as merchants of the Portuguese Nation took up the pen to advocate a program of commercial reform based on religious-ethnic toleration and the liberalization of trade.

This book provides a concise modern introduction to the science of complex networks. The book is based on lectures for university students and non-specialists. The aim is to introduce the world of networks to the subject without need for a serious background in mathematics or physics. The introductory chapters fill the existing gap between popular science books and comprehensive reference volumes on complex networks (including the Internet, World Wide Web, etc.). The book provides the shortest path to the world of networks and discusses the main directions of modern research in this active field as well as the history of network studies. The book describes the current state of the art in complex networks and includes recent results.

What do we learn if we look in parallel at the past of two distinct parts of the world? This book weighs this question by considering both the central Sahel of West Africa and the European countries around the North Sea, for the period 800–1500. This is a time for which historical records are scarce, and to which archaeology is making ever-increasing contributions. It is also, and foremost, a time when the central Sahel and northern Europe alike were undergoing far-reaching changes that were to define key aspects of their identity today. New monotheistic religions were replacing the animist faiths, states and empires were becoming consolidated, new trading networks were being set up, new towns were emerging, and fortifications were being erected as symbols and in defence against raiders and invaders. Do these elements of convergence mean that we can unpick much wider themes of similarity between northern Europe and Sahelian West Africa? This volume's central argument is that we can understand one area better by seeking inspiration from another.

The scientific study of networks, including computer networks, social networks, and biological networks, has received an enormous amount of interest in the last few years. The rise of the Internet and the wide availability of inexpensive computers have made it possible to gather and analyze network data on a large scale, and the development of a variety of new theoretical tools has allowed us to extract new knowledge from many different kinds of networks. The study of networks is broadly interdisciplinary and important developments have occurred in many fields, including mathematics, physics, computer and information sciences, biology, and the social sciences. This book brings together the most important breakthroughs in each of these fields and presents them in a coherent fashion, highlighting the strong interconnections between work in different areas. Subjects covered include the measurement and structure of networks in many branches of science, methods for analyzing network data, including methods developed in physics, statistics, and sociology, the fundamentals of graph theory, computer algorithms, and spectral methods, mathematical models of networks, including random graph models and generative models, and theories of dynamical processes taking place on networks.

For epidemiologists and public health professionals, the global epidemic of HIV/AIDS has provoked a fundamental re-examination of infectious disease prevention and the research needed to support it. This book documents and explains a breakthrough in behavioural research design that has emerged to confront this new challenge: the network survey. It represents a paradigm shift in epidemiology, broadening the focus from the traditional “knowledge, attitudes, and practices (KAP)” of individuals to mapping the relational networks that spread infection, and constrain behavioural change. Eight pioneering network studies from around the world are reviewed, with extensive detail on the sampling strategy, questionnaire development, fieldwork experiences, and key findings. In addition, there is an introduction that lays out the basics of network survey design, and a glossary of network terminology. This is a unique resource for all who wish to understand or undertake a network study.

As the traditional mode of coordinating — essentially issuing regulation — no longer commands sufficient political support, the EU has turned to what are increasingly termed soft or ‘new’ modes of governance, which rely upon different actors working together in relatively non-hierarchical networks. New modes of governance are in vogue because they appear to provide the EU with a new way to add value to national level activities without the slow process of agreeing new legislation or the cost associated with building new administrative capacities in Brussels. This analysis provides the first book-length account of the effectiveness of network-based modes at addressing problems that simultaneously demand greater horizontal and vertical coordination. Taking as an example the thirty-year struggle to build environmental thinking into all areas and levels of EU policy making, it systematically explores the steps that two major EU institutions (the European Commission and the European Parliament), and three member states (Germany, the Netherlands, and the UK) have (not) taken to build effective networked governance. By blending state of the art theories with new empirical findings, it offers a stark reminder that networked governance is not and has never been a panacea. Coordinating networks do not spontaneously ‘self organize’ in the EU; they have to be carefully designed as part of a repertoire of different coordinating instruments. The book concludes that the EU urgently needs to devote more of its time to the more mundane but important task of auditing and managing networks, which, paradoxically, is an exercise in hierarchy. In so doing, this book helps to strip away some of the rhetorical claims made about the novelty and appeal of new modes, to reveal a much more sober and realistic appraisal of their coordinating potential.

Corporate networks form part of the institutional structure of markets and the business environment, enabling firms to coordinate their behaviour and regulate competition. Networks perform a number of economic functions: they reduce information asymmetries and uncertainty, and facilitate the redistribution of risk between banks, firms, and investors. Within these networks, firms collectively monitor one another and owners supervise their managers. This book analyses comparative data on interlocking directorates and capital networks between large corporations in the United States and five countries in Europe: Germany, Great Britain, France, Switzerland, and the Netherlands. The structure of corporate networks is shaped by the traditions, culture, and institutions of a country. Corporate networks may be considered as a configuration of firms that are connected to one another by managers (interlocks), or as a configuration of managers who meet each other on the board of directors (network of the economic elite). The resources on which the dominance of the economic elite is based are bureaucratic power, property rights, and social capital. Bureaucratic control over a company is linked with property rights in the context of specific network configurations that vary between countries and lead to differing forms of managerial control. In the transitional economies, the type of capitalism that is evolving somewhat resembles Western managerial capitalism, but with certain significant differences. Privatization created a relatively high concentration of ownership. There is no clear-cut separation of ownership and control, but rather a balance of power between managers and owners.

This account of rational belief revision explains how a rational agent ought to proceed when adopting a new belief — a difficult matter if the new belief contradicts the agent’s old beliefs. Belief systems are modeled as finite dependency networks. So one can attend not only to what the agent believes, but also to the variety of reasons the agent has for so believing. The computational complexity of the revision problem is characterized. Algorithms for belief revision are formulated, and implemented in Prolog. The implementation tests well on a range of simple belief‐revision problems that pose a variety of challenges for any account of belief‐revision. The notion of ‘minimal mutilation’ of a belief system is explicated precisely. The proposed revision methods are invariant across different global justificatory structures (foundationalist, coherentist, etc.). They respect the intuition that, when revising one's beliefs, one should not hold on to any belief that has lost all its former justifications. The limitation to finite dependency networks is shown not to compromise theoretical generality. This account affords a novel way to argue that there is an inviolable core of logical principles. These principles, which form the system of Core Logic, cannot be given up, on pain of not being able to carry out the reasoning involved in rationally revising beliefs. The book ends by comparing and contrasting the new account with some major representatives of earlier alternative approaches, from the fields of formal epistemology, artificial intelligence and mathematical logic.