Analytical Sociology
Автор: Группа авторов
Год издания: 0000
Demonstrates the power of the theoretical framework of analytical sociology in explaining a large array of social phenomena Analytical Sociology: Actions and Networks presents the most advanced theoretical discussion of analytical sociology, along with a unique set of examples on mechanism- based sociology. Leading scholars apply the theoretical principles of analytical sociology to understand how puzzling social and historical phenomena including crime, lynching, witch-hunts, tax behaviours, Web-based social movement and communication, restaurant reputation, job search and careers, social network homophily and instability, cooperation and trust are brought about by complex, multi-layered social mechanisms. The analyses presented in this book rely on a wide range of methods which include qualitative observations, advanced statistical techniques, complex network tools, refined simulation methods and creative experimental protocols. This book ultimately demonstrates that sociology, like any other science, is at its best when it dissects the mechanisms at work by means of rigorous model building and testing. Analytical Sociology: • Provides the most complete and up-to-date theoretical treatment of analytical sociology. • Looks at a wide range of complex social phenomena within a single and unitary theoretical framework. • Explores a variety of advanced methods to build and test theoretical models. • Examines how both computational modelling and experiments can be used to study the complex relation between norms, networks and social actions. • Brings together research from leading global experts in the field in order to present a unique set of examples on mechanism-based sociology. Advanced graduate students and researchers working in sociology, methodology of social sciences, statistics, social networks analysis and computer simulation will benefit from this book.
About sociology in english. О социологии. Практикум по английскому языку
Автор: Группа авторов
Год издания:
Практикум составлен на основе оригинальных американских источников и способствует усвоению и закреплению лексики, развитию различных видов чтения и понимания оригинальной литературы по специальности, а также отработке навыков устной речи в ситуациях профессионального общения. Для студентов, аспирантов, научных сотрудников.
Analytical Studies
Автор: Оноре де Бальзак
Год издания:
Ecosociology Sources. Series: «Ecosociology»
Автор: I. P. Kulyasov
Год издания:
In the book the theoretical sources and the development of ecosociology. Covers a broad range of environmental issues. Designed for ecosocialism, graduate and undergraduate students, ecologists, ecopolitical and embezlement.
Heuristics in Analytics. A Practical Perspective of What Influences Our Analytical World
Автор: Fiona McNeill
Год издания:
Employ heuristic adjustments for truly accurate analysis Heuristics in Analytics presents an approach to analysis that accounts for the randomness of business and the competitive marketplace, creating a model that more accurately reflects the scenario at hand. With an emphasis on the importance of proper analytical tools, the book describes the analytical process from exploratory analysis through model developments, to deployments and possible outcomes. Beginning with an introduction to heuristic concepts, readers will find heuristics applied to statistics and probability, mathematics, stochastic, and artificial intelligence models, ending with the knowledge applications that solve business problems. Case studies illustrate the everyday application and implication of the techniques presented, while the heuristic approach is integrated into analytical modeling, graph analysis, text analytics, and more. Robust analytics has become crucial in the corporate environment, and randomness plays an enormous role in business and the competitive marketplace. Failing to account for randomness can steer a model in an entirely wrong direction, negatively affecting the final outcome and potentially devastating the bottom line. Heuristics in Analytics describes how the heuristic characteristics of analysis can be overcome with problem design, math and statistics, helping readers to: Realize just how random the world is, and how unplanned events can affect analysis Integrate heuristic and analytical approaches to modeling and problem solving Discover how graph analysis is applied in real-world scenarios around the globe Apply analytical knowledge to customer behavior, insolvency prevention, fraud detection, and more Understand how text analytics can be applied to increase the business knowledge Every single factor, no matter how large or how small, must be taken into account when modeling a scenario or event—even the unknowns. The presence or absence of even a single detail can dramatically alter eventual outcomes. From raw data to final report, Heuristics in Analytics contains the information analysts need to improve accuracy, and ultimately, predictive, and descriptive power.