Cybercrime is a legal workbook for anyone involved in the rapidly developing area of cybercrime. It comprehensively covers: determining what conduct is considered a cybercrime; investigating improper cyber conduct; trying a cybercrime case as a prosecuting or defending attorney; and handling the international aspects of cybercrime. As technology grows increasingly complex, so does computer crime. In this third edition, Clifford leads a team of nationally known experts in cybercrime (gathered from the diverse fields of academia, private, and governmental practice) to unfold the legal mysteries of computer crime. The book explores the variety of crimes that involve computer technology and provides essential details on procedural and tactical issues associated with the prosecution and defense of a cybercrime. The authors' insight will be of great interest to criminal prosecution and defense attorneys, law enforcement officers, and students of computer or modern criminal law.
The Third Edition of this best-selling text has been fully revised and updated to include coverage of the many developments on social network analysis (SNA) over the last decade. Written in a clear and accessible style, the book introduces these topics to newcomers and non-specialists and gives sufficient detail for more advanced users of social network analysis. Throughout the book, key ideas are discussed in relation to the principal software programs available for SNA.
The book provides a comprehensive overview of the field, outlining both its theoretical basis and its key techniques. Drawing from the core ideas of points, lines and paths, John Scott builds a framework of network analysis that covers such measures as density, centrality, clustering, centralisation, and spatialisation. He identifies the various types of clique, component, and circle into which networks are formed, and he outlines an approach to socially structured positions within networks. A completely new chapter in this edition discusses recent work on network dynamics and methods for studying change over time. A final chapter discusses approaches to network visualisation.
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Written by a stellar team of experts, Analyzing Social Networks is a practical book on how to collect, visualize, analyze and interpret social network data with a particular emphasis on the use of the software tools UCINET and Netdraw.
The book includes a clear and detailed introduction to the fundamental concepts of network analyses, including centrality, subgroups, equivalence and network structure, as well as cross-cutting chapters that helpfully show how to apply network concepts to different kinds of networks.
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Neil Postman is one of the most level-headed analysts of education, media, and technology, and in this book he spells out the increasing dependence upon technology, numerical quantification, and misappropriation of "Scientism" to all human affairs. No simple technophobe, Postman argues insightfully and writes with a stylistic flair, profound sense of humor, and love of language increasingly rare in our hastily scribbled e-mail-saturated world.
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 theories may be examined empirically using ERGMs. The authors supply the reader with sufficient detail to specify ERGMs, fit them to data with any of the available software packages and interpret the results.