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The Oxford Handbook of Social Networks gathers forty leading scholars in social networks who link the distinct practices of social network scholars in the social sciences. Each chapter provides a succinct background to, and future directions for, distinctive approaches to analyzing social networks--theoretical, methodological, or substantive. The
Handbook serves as a resource for graduate students and faculty new to networks looking to learn new approaches, scholars interested in an overview of the field, and network analysts looking to expand their skills or substantive areas of research.
Inhaltsverzeichnis
- 1 Introduction
- Ryan Light and James Moody
- Network Basics and Theory
- 2 Network Basics: Points, Lines, and Positions
- Ryan Light and James Moody
- 3 Theories of Social Networks
- Jan Fuhse
- 4 Networks and Neo-Structural Sociology
- Emmanuel Lazega
- 5 Rethinking Networks in the Era of Computational Social Science
- James A. Kitts and Eric Quintaine
- 6 Networks, Status, and Inequality
- John Levi Martin and James P. Murphy
- Network Methods
- 7 Strategies for Gathering Social Network Data
- jimi adams, Tatiane Santos, and Venice Ng Williams
- 8 Social Network Experiments
- Matthew E. Brashears and Eric Gladstone
- 9 The network scale-up method
- Tyler H. McCormick
- 10 The Continued Relevance of Ego Network Data
- Jeffrey A. Smith
- 11 Dyadic, Nodal and Group-level Approaches to Study the Antecedents and Consequences of Networks: Which Social Network Models to Use and When?
- Filip Agneessens
- 12 An Introduction to Statistical Models for Networks
- Valentina Kuskova and Stanley Wasserman
- 13 Advances in ERGMs
- Dean Lusher, Peng Wang, Julia Brennecke, Julien Brailly, Malick Frye, and Colin Gallagher
- 14 Modeling Network Dynamics
- David R. Schaefer and Christopher Steven Marcum
- 15 Causal Inference for Social Network Analysis
- Kenneth A. Frank and Ran Xu
- Network Dimensions
- 16 Case Studies in Network Community Detection
- Saray Shai, Natalie Stanley, Clara Granell, Dane Taylor, and Peter J. Mucha
- 17 Three Perspectives on Centrality
- Stephen P. Borgatti and Martin G. Everett
- 18 Network Visualization
- James Moody and Ryan Light
- 19 The Spatial Dimensions of Social Networks
- Zachary P. Neal
- 20 Five Field-Experimental Tests of Preferential Attachment
- Arnout van de Rijt and Afife Idil Akin
- 21 Duality beyond persons and groups: culture and affiliation
- Sophie Mützel and Ronald Breiger
- 22 Networks of Culture, Networks of Meaning: Two Approaches to Text Networks
- Ryan Light and Jeanine Cunningham
- 23 Historical Network Research
- Emily Erikson and Eric Feltham
- Network Landscape
- 24 Networks in Archaeology
- Carl Knappett
- 25 Networks, Kin and Social Support
- G. Robin Guathier
- 26 Demography and Networks
- M. Giovanna Merli, Sara R. Curran, and Claire Le Barbenchon
- 27 The Neuroscience of Social Networks
- Carolyn Parkinson, Thalia Wheatley, and Adam M. Kleinbaum
- 28 Computational Social Science, Big Data, and Networks
- Paolo Parigi and Bruno Abrahao
- 29 Networks: An Economic Perspective
- Matthew O. Jackson, Brian W. Rogers, and Yves Zenou
- 30 Social Capital and Economic Sociology
- Steve McDonald and Richard A. Benton
- 31 The International Trade Network
- Min Zhou
- 32 Maps of Science, Technology, and Education
- Katy Börner
- 33 Criminal Networks
- Chris M. Smith and Andrew V. Papachristos
Über den Autor / die Autorin
Ryan Light is Associate Professor of Sociology at the University of Oregon and the Digital Scholarship Fellow in the Social Sciences at the University of Oregon Libraries. His work has appeared in Proceedings of the National Academy of Sciences, Annual Review of Sociology, and Social Forces, among others.
James Moody is the Robert O. Keohane Professor of Sociology at Duke University. He has published extensively in the field of social networks, methods, and social theory with over 70 peer reviewed papers and extensive applied consultation with industry and DoD. He is Founding Director of the Duke Network Analysis Center, former editor of the online Journal of Social Structure, and co-founding editor of the American Sociological Association's new Open Access journal Socius.
Zusammenfassung
While some social scientists may argue that we have always been networked, the increased visibility of networks today across economic, political, and social domains can hardly be disputed. Social networks fundamentally shape our lives and social network analysis has become a vibrant, interdisciplinary field of research.
In The Oxford Handbook of Social Networks, Ryan Light and James Moody have gathered forty leading scholars in sociology, archaeology, economics, statistics, and information science, among others, to provide an overview of the theory, methods, and contributions in the field of social networks. Each of the thirty-three chapters in this Handbook moves through the basics of social network analysis aimed at those seeking an introduction to advanced and novel approaches to modeling social networks statistically. They cover both a succinct background to, and future directions for, distinctive approaches to analyzing social networks. The first section of the volume consists of theoretical and methodological approaches to social networks, such as visualization and network analysis, statistical approaches to networks, and network dynamics. Chapters in the second section outline how network perspectives have contributed substantively across numerous fields, including public health, political analysis, and organizational studies.
Despite the rapid spread of interest in social network analysis, few volumes capture the state-of-the-art theory, methods, and substantive contributions featured in this volume. This Handbook therefore offers a valuable resource for graduate students and faculty new to networks looking to learn new approaches, scholars interested in an overview of the field, and network analysts looking to expand their skills or substantive areas of research.
