“A headstrong heroine zigzags from Zanzibar to America in Roger King’s daring new novel.”—Elaina Richardson, O magazine“There is no safe haven, this brilliant, prescient novel suggests.”—Suzanne Ruta, The New York TimesWinner of the Bay Area Book Reviewers Association Award for Best Novel 2002.

    This accessible introduction presents the core concepts that political scientists use to study and compare political systems, illustrating these concepts with concrete examples from specific political systems.

    Social Network Analysis: Methods and Applications reviews and discusses methods for the analysis of social networks with a focus on applications of these methods to many substantive examples. As the first book to provide a comprehensive coverage of the methodology and applications of the field, this study is both a reference book and a textbook.

    Integrating classic and contemporary research, the text also includes comprehensive coverage of social cognition and evolutionary psychology, and features authoritative material on social psychology and the law. For this edition, Saul Kassin and Steven Fein welcome Hazel Rose Markus to the author team. As a leader and respected researcher in the study of cultural psychology, Markus has made significant contributions from her area of expertise to every chapter of this new edition.

    Its unique critical method of cultural analysis continues to make this the most widely adopted of all composition readers that focus on American popular culture -- now revised to respond to students' increasing need to understand and analyze visual culture.

    In the aftermath, Walt forms two new relationships: one with Ginger Newton, a privileged, reckless, Harvard undergraduate who is interviewing women about their lives for a book called Girls I Know, and the other with 11-year-old Mercedes Bittles, whose parents were killed in the restaurant. Wounded but resilient, all three must deal with loss and grief and the consequences that come when their lives change in unexpected ways.

    Such systems--whether political parties, stock markets, or ant colonies--present some of the most intriguing theoretical and practical challenges confronting the social sciences. Engagingly written, and balancing technical detail with intuitive explanations, Complex Adaptive Systems focuses on the key tools and ideas that have emerged in the field since the mid-1990s, as well as the techniques needed to investigate such systems. It provides a detailed introduction to concepts such as emergence, self-organized criticality, automata, networks, diversity, adaptation, and feedback. It also demonstrates how complex adaptive systems can be explored using methods ranging from mathematics to computational models of adaptive agents. John Miller and Scott Page show how to combine ideas from economics, political science, biology, physics, and computer science to illuminate topics in organization, adaptation, decentralization, and robustness. They also demonstrate how the usual extremes used in modeling can be fruitfully transcended.

    B. Carnochan accounts for the increasing interest in the English novel, including the contributions that Ian Watt's study made to literary studies: his introduction of sociology and philosophy to traditional criticism.

    Bringing the latest social and cultural findings and theories into sharp focus, the authors take us on a fascinating journey to discover what deaf culture is; the benefits of signed language and deaf culture for deaf children and hearing people; how deaf children are now educated and how they could be; how deaf people integrate into the larger society; the nature of American Sign Language; how technology helps (and hurts) deaf people; what can be learned from deaf societies in other lands; the future of the deaf world. Combining thought-provoking intellectual perspectives with enlightening first-hand accounts of life in the deaf world, this landmark volume is vital for professionals working in fields involving deaf people and for those with an interest in deaf studies.

    The phenomenon he describes as social production is reshaping markets, while at the same time offering new opportunities to enhance individual freedom, cultural diversity, political discourse, and justice. But these results are by no means inevitable: a systematic campaign to protect the entrenched industrial information economy of the last century threatens the promise of today’s emerging networked information environment.In this comprehensive social theory of the Internet and the networked information economy, Benkler describes how patterns of information, knowledge, and cultural production are changing—and shows that the way information and knowledge are made available can either limit or enlarge the ways people can create and express themselves. He describes the range of legal and policy choices that confront us and maintains that there is much to be gained—or lost—by the decisions we make today.

    This connectedness is found in many incarnations: in the rapid growth of the Internet, in the ease with which global communication takes place, and in the ability of news and information as well as epidemics and financial crises to spread with surprising speed and intensity. These are phenomena that involve networks, incentives, and the aggregate behavior of groups of people; they are based on the links that connect us and the ways in which our decisions can have subtle consequences for others. This introductory undergraduate textbook takes an interdisciplinary look at economics, sociology, computing and information science, and applied mathematics to understand networks and behavior. It describes the emerging field of study that is growing at the interface of these areas, addressing fundamental questions about how the social, economic, and technological worlds are connected.

    With a revised final chapter and expanded recommended readings, Roger Daniels's updated edition examines a tragic event in our nation's past and thoughtfully asks if it could happen again.

    This affects everything, from how we approach our everyday lives to how we make moral decisions and how we run our businesses.Take machine learning, which makes better predictions about weather, medical diagnoses, and product performance than we do--but often does so at the expense of our understanding of how it arrived at those predictions. While this can be dangerous, accepting it is also liberating, for it enables us to harness the complexity of an immense amount of data around us. We are also turning to strategies that avoid anticipating the future altogether, such as A/B testing, Minimum Viable Products, open platforms, and user-modifiable video games. We even take for granted that a simple hashtag can organize unplanned, leaderless movements such as #MeToo.Through stories from history, business, and technology, philosopher and technologist David Weinberger finds the unifying truths lying below the surface of the tools we take for granted--and a future in which our best strategy often requires holding back from anticipating and instead creating as many possibilities as we can. The book’s imperative for business and beyond is simple: Make. More. Future.The result is a world no longer focused on limitations but optimized for possibilities.

    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 for the first time 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.

    Our perpetual connectedness gives us endless opportunities to be part of the give-and-take of networking.Some worry that this new environment makes us isolated and lonely. But in Networked, Lee Rainie and Barry Wellman show how the large, loosely knit social circles of networked individuals expand opportunities for learning, problem solving, decision making, and personal interaction. The new social operating system of "networked individualism" liberates us from the restrictions of tightly knit groups; it also requires us to develop networking skills and strategies, work on maintaining ties, and balance multiple overlapping networks. Rainie and Wellman outline the "triple revolution" that has brought on this transformation: the rise of social networking, the capacity of the Internet to empower individuals, and the always-on connectivity of mobile devices. Drawing on extensive evidence, they examine how the move to networked individualism has expanded personal relationships beyond households and neighborhoods; transformed work into less hierarchical, more team-driven enterprises; encouraged individuals to create and share content; and changed the way people obtain information. Rainie and Wellman guide us through the challenges and opportunities of living in the evolving world of networked individuals.