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Regression Inside Out
Demonstrates new ways to extract knowledge from statistical data and unlock more nuanced interpretations than has previously been possible.
Contexts of Social Capital
One of the "hottest" concepts in international academic social-science research, social capital refers to the ways in which people make use of social networks in "getting ahead". This book presents the latest contributions and advances in theory and method in this important field.
Contexts of Social Capital
The concept of social capital refers to the ways in which people make use of their social networks in "getting ahead." Social capital isn’t just about the connections in networks, but fundamentally concerns the distribution of resources on the basis of exchanges. This volume focuses on how social capital interacts with social institutions, based on the premise that markets, communities, and families are the major contexts within which people meet and build up social networks and the foci to create social capital. Featuring innovations in thinking about exchange mechanisms, resource distribution, institutional logics, resource diversity, and the degree of openness or closure of social networks, these chapters present some of the most important advances in this essential field. Paralleling these theoretical developments, the chapters also improve practical methodological work on social capital research, using new techniques and measurement methods for the uncovering of social logics.
Dynamic Social Network Modeling and Analysis
In the summer of 2002, the Office of Naval Research asked the Committee on Human Factors to hold a workshop on dynamic social network and analysis. The primary purpose of the workshop was to bring together scientists who represent a diversity of views and approaches to share their insights, commentary, and critiques on the developing body of social network analysis research and application. The secondary purpose was to provide sound models and applications for current problems of national importance, with a particular focus on national security. This workshop is one of several activities undertaken by the National Research Council that bears on the contributions of various scientific disciplines to understanding and defending against terrorism. The presentations were grouped in four sessions â€" Social Network Theory Perspectives, Dynamic Social Networks, Metrics and Models, and Networked Worlds â€" each of which concluded with a discussant-led roundtable discussion among the presenters and workshop attendees on the themes and issues raised in the session.
Explorations in Structural Analysis (RLE Social Theory)
At a time when most of the innovative techniques in empirical sociology concern themselves with networks of relations among variables (such as indices of occupational prestige, education and income), the central theme of this volume is that there is much substantive insight and analytical leverage to be gained from a conceptualization of social structure directly, as regularities in the patterning of relations among concrete entities. The view adopted here is that variate distributions measure selected consequences of structural pattern (of the actual connections among individuals or organizations) and, as such, they are useful indicators of questions to be asked in analyzing social structures directly, but they are neither descriptions nor analyses of the structure itself.
Social Networks
This collection brings together the principal sources in the development of the techniques of social network analysis, from early metaphorical statements in Simmel and Radcliffe-Brown through the more systematic explorations in sociology and social anthropology, to contemporary formalizations. A new introduction explores the history of Social Networks and highlights the arguments of those who treat social network analysis as a loose, qualitative approach as well as those who see its potential in technical, mathematical uses. The thematically organized coverage includes: * Part I: Conceptualizing Social Networks * Part II: Topics and Developments in Graph Theory * Part III: Further Mathematical Models for Networks * Part IV: Applications: Family and Community * Part V: Applications: Corporate Power and Economic Structures * Part VI: Applications: Political, Protest, and Policy Networks * Part VII: Applications: Knowledge, Reputation, and Diffusion
The Oxford Handbook of Archaeological Network Research
Network research has recently been adopted as one of the tools of the trade in archaeology, used to study a wide range of topics: interactions between island communities, movements through urban spaces, visibility in past landscapes, material culture similarity, exchange, and much more. This Handbook is the first authoritative reference work for archaeological network research, featuring current topical trends and covering the archaeological application of network methods and theories. This is elaborately demonstrated through substantive topics and case studies drawn from a breadth of periods and cultures in world archaeology. It highlights and further develops the unique contributions made by archaeological research to network science, especially concerning the development of spatial and material culture network methods and approaches to studying long-term network change. This is the go-to resource for students and scholars wishing to explore how network science can be applied in archaeology through an up-to-date overview of the field.
Social Structures
This study of social structures looks at the network approach. It contains non-technical articles that contrast structural analysis with other social scientific approaches. It deals with individual behaviour and identity and with neighbourhood and community ties. It examines the relationships within and between organizations, discussing how firms occupy strategically appropriate niches. It also explores the impact of the growth of the Internet, equating computer networks as social networks connecting people in virtual communities and collaborative work.
Network Analysis
‘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.
