This open access book presents a ground-breaking approach to developing micro-foundations for demography and migration studies. It offers a unique and novel methodology for creating empirically grounded agent-based models of international migration – one of the most uncertain population processes and a top-priority policy area. The book discusses in detail the process of building a simulation model of migration, based on a population of intelligent, cognitive agents, their networks and ins...

Incorporating the most important and cutting-edge developments in the field, this bestselling text introduces newcomers to the key theories and techniques of social network analysis and guides more experienced analysts in their own research.New to This Edition:A chapter on data collection, covering a crucial phase of the research processFully updated examples reiterate the continued importance of social network analysis in an increasingly in...

An exploration of the implications of developments in artificial intelligence for social scientific research, which builds on the theoretical and methodological insights provided by "Simulating societies".; This book is intended for worldwide library market for social science subjects such as sociology, political science, geography, archaeology/anthropology, and significant appeal within computer science, particularly artificial intelligence. Also personal reference for researchers.

Bringing together leading theorists, researchers and policy makers with expertise in using realist methods, this book is a definitive guide to putting realist methodologies into practice.Not just an overview of the field, this book looks to extend current debates and apply realist methods to new and practical challenges in social research. Featuring practical, worked examples of how to turn theory into evidence, it empowers readers not just to understand realist methods, but to use...

The ego-net approach to social network analysis, which takes discrete individual actors and their contacts as its starting point, is one of the most widely used approaches in the field. This is the first textbook to take readers through each stage of ego-net research, from conception, through research design and data gathering to analysis.It starts with the basics, assuming no prior knowledge of social network analysis, but then moves on to introduce cutting edge innovations, cover...

The perfect book for any student taking a research methods course for the first time!The new edition of David and Sutton′s text provides those new to social research with a comprehensive introduction to the theory, logic and practical methods of qualitative, quantitative and mixed methods research. Covering all aspects of research design, data collection, data analysis and writing up, Social Research: An Introduction is the essential companion for all undergraduate and postgraduate...

Egocentric network analysis is used widely across the social sciences, especially in anthropology, political science, economics, and sociology, and is increasingly being employed in communications, informatics, and business and marketing studies. Egocentric network analysis requires a unique set of data collection and analysis skills that overlap only minimally with other network methodologies. However, until now there has been no single reference for conceptualizing, collecting, and analy...

Exponential random graph models (ERGMs) are increasingly applied to observed network data and are central to understanding social structure and network processes. The chapters in this edited volume provide a self-contained, exhaustive account of the theoretical and methodological underpinnings of ERGMs, including models for univariate, multivariate, bipartite, longitudinal and social-influence type ERGMs. Each method is applied in individual case studies illustrating how social science the...

We live in a world that is paradoxically both small and vast; each of us is embedded in local communities and yet we are only a few ′links′ away from anyone else in the world.This engaging book represents these interdependencies′ positive and negative consequences, their multiple effects and the ways in which a local occurrence in one part of the world can directly affect the rest. Then it demonstrates precisely how these interactions and relationships form.This is a book f...

Research design is of critical importance in social research, despite its relative neglect in many methods resources. Early consideration of design in relation to research questions leads to the elimination or diminution of threats to eventual research claims, by encouraging internal validity and substantially reducing the number of alternative explanations for any finite number of research ′observations′.This new book: discusses the nature of design; gives an introduction to desig...

Relationships and the pattern of relationships have a large and varied influence on both individual and group action. The fundamental distinction of social network analysis research is that relationships are of paramount importance in explaining behavior. Because of this, social network analysis offers many exciting tools and techniques for research and practice in a wide variety of medical and public health situations including organizational improvements, understanding risk behaviors, co...

Integrating Analyses in Mixed Methods Research goes beyond mixed methods research design and data collection, providing a pragmatic discussion of the challenges of effectively integrating data to facilitate a more comprehensive and rigorous level of analysis. Showcasing a range of strategies for integrating different sources and forms of data as well as different approaches in analysis, it helps you plan, conduct, and disseminate complex analyses with confidence. Key techn...