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Structural analysis in the social sciences has an extensive history. Frequently, however, it has been undertaken largely on the basis of intuition and common sense alone. In this book Per Hage and Frank Harary reveal the deeper insights into social and cultural structures that can be obtained through the application of graph theory.
N.J. (‘Nick’) Allen had an extensive academic career, which for the most part was spent in Oxford. He passed away in 2020. This edited volume brings together a selection of his anthropological papers. They cover two major fields and a supplementary one: Indo-European mythical comparison and his own notion of tetradic kinship, supplemented by a long-term interest in the work of Marcel Mauss and his uncle Émile Durkheim.It follows key areas of his research in which his contributions were novel, innovative, stimulating and plausible.
This volume provides a coherent framework on network analysis in current archaeological practice by pulling together its main themes and approaches to show how it is changing the way archaeologists face the key questions of regional interaction.
Our experience of the world is driven by processes common to all animals: growth, survival, reproduction and death. Evolution and Human Behaviour explores the complexities of the human experience through the lens of Darwinism, drawing on a long and vibrant tradition of different theories and interpretations. This textbook offers a compelling synthesis of key concepts, addressing human thought, feeling and behaviour in fundamental evolutionary terms. This is a essential text for undergraduate students taking courses in psychology, human biology, ethology, anthropology and human behavioural ecology, providing an insightful and comprehensive introduction for anyone who wishes to understand how ...
First multi-year cumulation covers six years: 1965-70.
Prison On Trial is the classic critique of prisons and imprisonment: a book for everyone's library shelf and collection.
‘Network’ is a heavily overloaded term, so that ‘network analysis’ means different things to different people. Specific forms of network analysis are used in the study of diverse structures such as the Internet, interlocking directorates, transportation systems, epidemic spreading, metabolic pathways, the Web graph, electrical circuits, project plans, and so on. There is, however, a broad methodological foundation which is quickly becoming a prerequisite for researchers and practitioners working with network models. From a computer science perspective, network analysis is applied graph theory. Unlike standard graph theory books, the content of this book is organized according to methods for specific levels of analysis (element, group, network) rather than abstract concepts like paths, matchings, or spanning subgraphs. Its topics therefore range from vertex centrality to graph clustering and the evolution of scale-free networks. In 15 coherent chapters, this monograph-like tutorial book introduces and surveys the concepts and methods that drive network analysis, and is thus the first book to do so from a methodological perspective independent of specific application areas.