The Oxford Handbook of Social Networks

ISBN : 9780190251765

Ryan Light; James Moody
632 ページ
171 x 248 mm
Oxford Handbooks

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.


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 & 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 Mutzel 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 Borner
33 Criminal Networks
Chris M. Smith and Andrew V. Papachristos


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.