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The Oxford handbook of social networks
Title statement The Oxford handbook of social networks / edited by Ryan Light and James Moody. Publication New York : Oxford University Press, 2020. Phys.des. 1 online resource (632 pages). ISBN 9780197520628 (ebook) : No price Edition Oxford handbooks online Note Also issued in print: 2021. Internal Bibliographies/Indexes Note Includes bibliographical references and index. Contents Introduction / Ryan Light, James Moody -- Strategies for Gathering Social Network Data / jimi adams, Tatiane Santos, Venice Ng Williams -- Social Network Experiments / Matthew E. Brashears, Eric Gladstone -- Dyadic, Nodal and Group-level Approaches to Study the Antecedents and Consequences of Networks: Which Social Network Models to Use and When? / Filip Agneessens -- The network scale-up method / Tyler H. McCormick -- The Continued Relevance of Ego Network Data / Jeffrey A. Smith -- Case Studies in Network Community Detection / Saray Shai, Natalie Stanley, Clara Granell, Dane Taylor, Peter J. Mucha -- Introduction to Statistical Models of Networks / Valentina Kuskova, Stanley Wasserman -- Advances in ERGMs / Dean Lusher, Peng Wang, Julia Brennecke, Julien Brailly, Malick Faye, Colin Gallagher -- Modeling Network Dynamics / David R. Schaefer, Christopher Steven Marcum -- Network Basics: Points, Lines, and Positions / Ryan Light, James Moody -- Five Field-Experimental Tests of Preferential Attachment / Arnout van de Rijt, Afife Idil Akin -- Causal Inference for Social Network Analysis / Kenneth A. Frank, Ran Xu -- Three Perspectives on Centrality / Stephen P. Borgatti, Martin G. Everett -- Computational Social Science, Big Data, and Networks / Bruno Abrahao, Paolo Parigi -- Rethinking Networks in the Era of Computational Social Science / James A. Kitts, Eric Quintane -- Networks in Archaeology / Carl Knappett -- Networks, Kin and Social Support / G. Robin Gauthier -- Demography and Networks / M. Giovanna Merli, Sara R. Curran, Claire Le Barbenchon -- The Neuroscience of Social Networks / Carolyn Parkinson, Thalia Wheatley, Adam M. Kleinbaum -- Networks of Culture, Networks of Meaning: Two Approaches to Text Networks / Ryan Light, Jeanine Cunningham -- Social Capital and Economic Sociology / Steve McDonald, Richard A. Benton -- Networks: An Economic Perspective / Matthew O. Jackson, Brian W. Rogers, Yves Zenou -- The International Trade Network / Min Zhou -- Criminal Networks / Chris M. Smith, Andrew V. Papachristos -- Maps of Science, Technology, and Education / Katy Börner -- Network Visualization / James Moody, Ryan Light -- Networks, Status and Inequality / John Levi Martin, James P. Murphy -- Historical Network Research / Emily Erikson, Eric Feltham -- The Spatial Dimensions of Social Networks / Zachary P. Neal -- Theories of Social Networks / Jan Fuhse -- Networks & Neo-Structural Sociology / Emmanuel Lazega -- Duality beyond persons and groups: culture and affiliation / Sophie Mützel, Ronald Breiger. Notes to Availability Přístup pouze pro oprávněné uživatele Audience Specialized. Another responsib. Light, Ryan, Moody, James W., Subj. Headings Social networks. * Online social networks. * Social sciences - Network analysis. Form, Genre elektronické knihy electronic books Country New York Language angličtina Document kind Electronic books URL Plný text pro studenty a zaměstnance UPOL 
book
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 this handbook, Ryan Light and James Moody have gathered 40 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 chapters moves through the basics of social network analysis aimed at those seeking an introduction to advanced and novel approaches to modeling social networks statistically.
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