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The Sage Handbook of Social Network Analysis John McLevey

The Sage Handbook of Social Network Analysis By John McLevey

The Sage Handbook of Social Network Analysis by John McLevey


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Summary

This new edition ofTheSage Handbook of Social Network Analysisbuilds on the success of its predecessor, offering a comprehensive overview of social network analysis produced by leading international scholars in the field.

The Sage Handbook of Social Network Analysis Summary

The Sage Handbook of Social Network Analysis by John McLevey

This new edition ofTheSage Handbook of Social Network Analysisbuilds on the success of its predecessor, offering a comprehensive overview of social network analysis produced by leading international scholars in the field.

Brand new chapters provide both significant updates to topics covered in the first edition, as well as discussing cutting edge topics that have developed since, including new chapters on:

General issues such as social categories and computational social science;

Applications in contexts such as environmental policy, gender, ethnicity, cognition and social media and digital networks;

Concepts and methods such as centrality, blockmodeling, multilevel network analysis, spatial analysis, data collection, and beyond.

By providing authoritative accounts of the history, theories and methodology of various disciplines and topics, the second edition ofThe SAGE Handbook of Social Network Analysisis designed to provide a state-of-the-art presentation of classic and contemporary views, and to lay the foundations for the further development of the area.

PART 1: GENERAL ISSUES

PART 2: APPLICATIONS

PART 3: CONCEPTS AND METHODS

About John McLevey

John McLevey is an Associate Professor in the Department of Knowledge Integration at the University of Waterloo (ON, Canada). He is also appointed to the Departments of Sociology & Legal Studies and Geography and Environmental Management, is a Policy Fellow at the Balsillie School of International Affairs, and a Member of the Cybersecurity and Privacy Institute at the University of Waterloo. His work is funded by research grants from the Social Science and Humanities Research Council of Canada (SSHRC) and an Early Researcher Award from the Ontario Ministry of Research and Innovation. His current research project focuses on disinformation, censorship, and political deliberation in the public sphere across a wide variety of national contexts and political regimes. He wroteDoing Computational Social Science (SAGE Publishing, 2021)from his experiences as a researcher and advisor, as well as teaching courses in computational social science, data science, and research methods to students from diverse disciplinary backgrounds at the undergraduate and graduate level. 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).

Table of Contents

Chapter 1: Introduction - John Scott, John McLevey, and Peter J. Carrington Part 1 Chapter 2: Introducing Social Network Analysis - Christina Prell and David R. Schaefer Chapter 3: Social Networks and Social Categories - Ronald Breiger and Robin Wagner-Pacifici Chapter 4: Social Networks and Computational Social Science - James A. Kitts, Helene Grogan and Kevin Lewis Chapter 5: Relational Sociology: Networks, Culture, and Interaction - Jan Fuhse and Ann Mische Part 2 Chapter 6: Social-ecological networks: What are they, why are they useful, and how can I use them? - Orjan Bodin Chapter 7: The Evolution of Environmental Policy Network Analysis - Tyler A. Scott, Mark Lubell and Gwen Arnold UC Davis Chapter 8: Health Behaviors and Outcomes - Kayla de la Haye Chapter 9: Political and policy networks - Mario Diani Chapter 10: Social Movements and Collective Action - David Tindall Chapter 11: Gender and social networks - Elisa Bellotti Chapter 12: Why cant we be friends? Understanding ethnic relations through network analysis - Rochelle Cote Chapter 13: Culture and Networks - Omar Lizardo Chapter 14: Semantic and Cultural Networks - Sarah Shugars and Sandra Gonzalez-Bailon Chapter 15: Cognition and Social Networks - Matthew E. Brashears and Victoria Money Chapter 16: Scientific Networks - Donghyun Kang and James Evans Chapter 17: Crime and Networks - Marie Ouellet and Logan Ledford Chapter 18: Historical Network Analysis: Two Problems of Scale - Ian Kumekawa Chapter 19: The Paradox of Behavior Change and the Science of Network Diffusion - Damon Centola Chapter 20: Network Interventions: Using Social Networks to Accelerate Diffusion of Innovations - Thomas W. Valente Chapter 21: Social Media and Digital Networks - Anabel Quan-Haase, Lyndsay Foisey and Riley McLaughlin Chapter 22: Social Capital - Beate Volker Chapter 23: Social Support - Lijun Song and Zhe Zhang Chapter 24: Corporate Networks - William K. Carroll, Jouke Huijzer and J. P. Sapinski Chapter 25: International Trade Networks - Christina Prell, James Hollway, Petr Matous and Yasuyuki Todo Part 3 Chapter 26: Centrality - M G Everett and S P Borgatti Chapter 27: Structural Cohesion & Cohesive Groups - James Moody and Peter J. Mucha. Chapter 28: Multimodal social network analysis - Lorien Jasny Chapter 29: Blockmodeling, Positions and Roles - Patrick Doreian, Anuska Ferligoj, and Vladimir Batagelj Chapter 30: Inferential Network Clustering with Hierarchical Bayesian Stochastic Blockmodels - Pierson Browne, Tyler Crick, and John McLevey Chapter 31: Personal Networks and Egocentric Analysis - Brea Perry, Adam Roth, and Mario Small Chapter 32: Multilevel Network Analysis - Emmanuel Lazega and Peng Wang Chapter 33:Exponential Random Graph Models - Johan Koskinen Chapter 34: Network Dynamics - Tom A.B. Snijders and Christian E.G. Steglich Chapter 35: Relational Event Models - Aaron Schecter and Noshir Contractor Chapter 36: Latent Position Network Models - Hardeep Kaur, Riccardo Rastelli, Nial Friel and Adrian E. Raftery Chapter 37: Negative Ties and Signed Networks - Filip Agneessens Chapter 38: Qualitative and Mixed Methods - Betina Hollstein Chapter 39: Spatial analysis of social networks - John R. Hipp Chapter 40: Social Network Data Collection: Principles and Modalities - Jimi Adams and Miranda Lubbers Chapter 41: Missing Network Data - Robert W. Krause and Mark Huisman Chapter 42: Scientific Software for Network Analysis - Pierson Browne, Adam Howe, Yasmin Koop-Monteiro, Yixi Yang, and John McLevey

Additional information

NPB9781529779615
9781529779615
1529779618
The Sage Handbook of Social Network Analysis by John McLevey
New
Hardback
Sage Publications Ltd
2023-10-25
672
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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