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Models and Methods in Social Network Analysis
Models and Methods in Social Network Analysis presents the most important developments in quantitative models and methods for analyzing social network data that have appeared during the 1990s. Intended as a complement to Wasserman and Faust's Social Network Analysis: Methods and Applications, it is a collection of articles by leading methodologists reviewing advances in their particular areas of network methods. Reviewed are advances in network measurement, network sampling, the analysis of centrality, positional analysis or blockmodelling, the analysis of diffusion through networks, the analysis of affiliation or 'two-mode' networks, the theory of random graphs, dependence graphs, exponential families of random graphs, the analysis of longitudinal network data, graphical techniques for exploring network data, and software for the analysis of social networks.
The SAGE Handbook of Social Network Analysis
This sparkling Handbook offers an unrivalled resource for those engaged in the cutting edge field of social network analysis. Systematically, it introduces readers to the key concepts, substantive topics, central methods and prime debates. Among the specific areas covered are: Network theory Interdisciplinary applications Online networks Corporate networks Lobbying networks Deviant networks Measuring devices Key Methodologies Software applications. The result is a peerless resource for teachers and students which offers a critical survey of the origins, basic issues and major debates. The Handbook provides a one-stop guide that will be used by readers for decades to come.
The SAGE Handbook of Social Network Analysis
This sparkling Handbook offers an unrivalled resource for those engaged in the cutting edge field of social network analysis. Systematically, it introduces readers to the key concepts, substantive topics, central methods and prime debates. Among the specific areas covered are: Network theory Interdisciplinary applications Online networks Corporate networks Lobbying networks Deviant networks Measuring devices Key Methodologies Software applications. The result is a peerless resource for teachers and students which offers a critical survey of the origins, basic issues and major debates. The Handbook provides a one-stop guide that will be used by readers for decades to come.
Mixed Methods Social Networks Research
This edited volume demonstrates the potential of mixed-methods designs for the research of social networks and the utilization of social networks for other research. Mixing methods applies to the combination and integration of qualitative and quantitative methods. In social network research, mixing methods also applies to the combination of structural and actor-oriented approaches. The volume provides readers with methodological concepts to guide mixed-method network studies with precise research designs and methods to investigate social networks of various sorts. Each chapter describes the research design used and discusses the strengths of the methods for that particular field and for specific outcomes.
Understanding Social Networks
Understanding Social Networks explains the big ideas that underlie social networks, covering fundamental concepts then discussing networks and their core themes in increasing order of complexity.
Peter, a Cat O' One Tail
Based on the life of the illustrator's pet cat.
Crime and Networks
This innovative collection of original essays showcases the use of social networks in the analysis and understanding of various forms of crime. More than any other past research endeavor, the seventeen chapters in this book apply to criminology the many conceptual and methodological options from social network analysis. Crime and Networks is the only book of its kind that looks at the use of networks in understanding crime, and can be used for advanced undergraduate and beginner’s graduate level courses in criminal justice and criminology.
Applications of Social Network Analysis
Since its appearance in the 1930s in the form of sociometry, social network analysis (SNA) has become a major paradigm for social research in such areas as communication, organizations, and social mobility, to name but a few. It is used by researchers in a wide range of disciplines: like any mathematical approach to social research, social network analysis strips away the unique details of social situations to reveal, or model, the bare structural essentials. By doing so, it enables the researcher to identify similarities across widely disparate contexts, and so to benefit from the insights of many different fields of study. This major work is dedicated specifically to the applications of social network analysis in diverse fields of scholarship. Divided into four volumes, each of which opens with a contextualising introduction written by the editor, this collection aims to provide scholars from a wide range of disciplines with a comprehensive, touchstone resource on the topic.
Crime and Criminality
This informative and entertaining book, peppered with personal anecdotes and rich in case studies, adopts a unique approach to studying the causes of crime. Rather than relying on one theoretical position, Boyanowsky borrows from a range of theories to explain criminal behavior and answer questions central to the field of criminology. Crime and Criminality employs case studies, both notorious and lesser known, to bring theories to life and offer insight into vital contemporary issues, such as domestic violence, child pornography, genocide, the effect of climate change on crime, and the evolution of cybercrime. Engaging, accessible, and comparative in scope, this book is ideal for students and general readers interested in understanding the varied causes of crime. Introductions and summaries in each chapter make this an ideal text for criminology courses.
Understanding Criminal Networks
Understanding Criminal Networks is a short methodological primer for those interested in studying illicit, deviant, covert, or criminal networks using social network analysis (SNA). Accessibly written by Gisela Bichler, a leading expert in SNA for dark networks, the book is chock-full of graphics, checklists, software tips, step-by-step guidance, and straightforward advice. Covering all the essentials, each chapter highlights three themes: the theoretical basis of networked criminology, methodological issues and useful analytic tools, and producing professional analysis. Unlike any other book on the market, the book combines conceptual and empirical work with advice on designing networking studies, collecting data, and analysis. Relevant, practical, theoretical, and methodologically innovative, Understanding Criminal Networks promises to jumpstart readers’ understanding of how to cross over from conventional investigations of crime to the study of criminal networks.
