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The SAGE Handbook of Social Network Analysis
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Table of Contents

Introduction - Peter J Carrington and John Scott
PART ONE: GENERAL ISSUES
Social Network Analysis: An Introduction - Alexandra Marin and Barry Wellman
The Development of Social Network Analysis - with an Emphasis on Recent Events - Linton C Freeman
Network Theory - Stephen P Borgatti and Virginie Lopez-Kidwell
Social Physics and Social Networks - John Scott
Social Networks in Economics - Sanjeev Goyal
Relational Sociology, Culture and Agency - Ann Mische
PART TWO: SUBSTANTIVE TOPICS
Personal Communities: The World According to Me - Vincent Chua, Julia Madej and Barry Wellman
Social Support - Lijun Song, Joonmo Son and Nan Lin
Kinship, Class and Community - Douglas R White
Animal Social Networks - Katherine Faust
Networking Online: Cybercommunities - Anatoliy Gruzd and Caroline Haythornthwaite
Corporate Elites and Intercorporate Networks - William K Carroll and J P Sapinski
Political Dimensions of Corporate Connections - Matthew Bond and Nicholas Harrigan
Policy Networks - David Knoke
Social Movements and Collective Action - Mario Diani
Crime and Social Network Analysis - Peter J Carrington
Terrorist Networks: The Threat of Connectivity - Renée C van der Hulst
Scientific and Scholarly Networks - Howard D White
Cultural Networks - Paul DiMaggio
Social Networks, Geography and Neighbourhood Effects - Ron Johnston and Charles Pattie
A Multiple-Network Analysis of the World System of Nations, 1995-1999 - Edward L Kick et al
PART THREE: CONCEPTS AND METHODS
A Brief Introduction to Analyzing Social Network Data - Robert A Hanneman and Mark Riddle
Concepts and Measures for Basic Network Analysis - Robert A Hanneman and Mark Riddle
Survey Methods for Network Data - Peter V Marsden
Survey Sampling in Networks - Ove Frank
Qualitative Approaches - Betina Hollstein
Analyzing Affiliation Networks - Stephen P Borgatti and Daniel S Halgin
Positions and Roles - Anuška Ferligoj, Patrick Doreian and Vladimir Batagelj
Relation Algebras and Social Networks - Philippa Pattison
Statistical Models for Ties and Actors - Marijtje A J van Duijn and Mark Huisman
Exponential Random Graph Models for Social Networks - Garry Robins
Network Dynamics - Tom A B Snijders
Models and Methods to Identify Peer Effects - Weihua (Edward) An
Kinship Network Analysis - Klaus Hamberger, Michael Houseman and Douglas R White
Large-Scale Network Analysis - Vladimir Batagelj
Network Visualization - Lothar Krempel
A Reader′s Guide to Social Network Analysis Software - Mark Huisman and Marijtje A J van Duijn

About the Author

John Scott is an Honorary Professor at the Universities of Essex, Exeter, and Copenhagen. He was formerly a professor of sociology at the Universities of Essex and Leicester, and pro-vice-chancellor for research at the University of Plymouth. He has been president of the British Sociological Association, Chair of the Sociology Section of the British Academy, and in 2013 was awarded the CBE for Services to Social Science. His work covers theoretical sociology, the history of sociology, elites and social stratification, and social network analysis. His most recent books include British Social Theory: Recovering Lost Traditions before 1950 (SAGE, 2018), Envisioning Sociology. Victor Branford, Patrick Geddes, and the Quest for Social Reconstruction (with Ray Bromley, SUNY Press, 2013), Objectivity and Subjectivity in Social Research (with Gayle Letherby and Malcolm Williams, SAGE, 2011).

Reviews

Over the past decades Social Network Analysis has broadened its scope from anthropology and sociology to all behavioral and social sciences, from social and organizational psychology to management science and economics. This Handbook provides well-founded introductions and overviews for a broad range of social network studies, approaches, and methodology. It is a must for everybody who is interested in the way social network relations evolve, are structured and affect outcomes in any part of our life and society
Frans N. Stokman
Professor of Social Science Research Methodology, ICS, University of Groningen, The Netherlands There is something for everyone in The SAGE Handbook of Social Network Analysis. Whether you are brand new to the field or a seasoned expert, interested in the theoretical underpinnings of network analysis or the methodological nuts and bolts associated with analyzing the evolution of an affiliation network over time, this book is a must have
Michael Schwartz, Chair, Department of Sociology
Stony Brook University, USA An outstanding volume that brings together contributions from the world’s leading experts on social network analysis. Methods, theory and substantive applications are presented in a clear exposition making this the most comprehensive text available in this rapidly expanding and changing field. For anyone with any interest in social networks this is quite simply a “must have” book
Martin Everett, Professor of Social Network Analysis,
Manchester University, UK The editors have chosen recognized specialists for each subject treated in the Handbook, and there are many subjects treated... The Handbook provides well-founded introductions and overviews for this broad range of social network studies, approaches, and methodology. It is a necessary acquisition for anybody intererested in the way social network relations evolve, are structured and affect outcomes in all parts of our life and society.
Bulletin of Sociological Methodology The Scott and Carrington handbook is brimful with the most influential analysts in the field, including Freeman, Borgatti, White, Faust, and Marsden, to name only a few. The book has exceptionally good organisation, meant to comprehensively cover both theory and method ... [so] novice and experienced analysts have the essential tools for conducting any type of qualitative of quantitative study using social network methodology. Particularly welcome are chapters that include a wide range of subjects studied with SNA, including some that are especially timely, such as the more controversial examination of social physics.
L. L. Hansen
Western New England University

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