You are here

Disable VAT on Taiwan

Unfortunately, as of 1 January 2020 SAGE Ltd is no longer able to support sales of electronically supplied services to Taiwan customers that are not Taiwan VAT registered. We apologise for any inconvenience. For more information or to place a print-only order, please contact uk.customerservices@sagepub.co.uk.

The Sage Handbook of Social Network Analysis
Share
Share

The Sage Handbook of Social Network Analysis

Second Edition
Edited by:


October 2023 | 672 pages | SAGE Publications Ltd

This new edition of The Sage Handbook of Social Network Analysis builds 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 of The SAGE Handbook of Social Network Analysis is 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

John Scott, John McLevey, and Peter J. Carrington
Chapter 1: Introduction
 
Part 1
Christina Prell and David R. Schaefer
Chapter 2: Introducing Social Network Analysis
Ronald Breiger and Robin Wagner-Pacifici
Chapter 3: Social Networks and Social Categories
James A. Kitts, Helene Grogan and Kevin Lewis
Chapter 4: Social Networks and Computational Social Science
Jan Fuhse and Ann Mische
Chapter 5: Relational Sociology: Networks, Culture, and Interaction
 
Part 2
Örjan Bodin
Chapter 6: Social-ecological networks: What are they, why are they useful, and how can I use them?
Tyler A. Scott, Mark Lubell and Gwen Arnold UC Davis
Chapter 7: The Evolution of Environmental Policy Network Analysis
Kayla de la Haye
Chapter 8: Health Behaviors and Outcomes
Mario Diani
Chapter 9: Political and policy networks
David Tindall
Chapter 10: Social Movements and Collective Action
Elisa Bellotti
Chapter 11: Gender and social networks
Rochelle Côté
Chapter 12: Why can’t we be friends? Understanding ethnic relations through network analysis
Omar Lizardo
Chapter 13: Culture and Networks
Sarah Shugars and Sandra González-Bailón
Chapter 14: Semantic and Cultural Networks
Matthew E. Brashears and Victoria Money
Chapter 15: Cognition and Social Networks
Donghyun Kang and James Evans
Chapter 16: Scientific Networks
Marie Ouellet and Logan Ledford
Chapter 17: Crime and Networks
Ian Kumekawa
Chapter 18: Historical Network Analysis: Two Problems of Scale
Damon Centola
Chapter 19: The Paradox of Behavior Change and the Science of Network Diffusion
Thomas W. Valente
Chapter 20: Network Interventions: Using Social Networks to Accelerate Diffusion of Innovations
Anabel Quan-Haase, Lyndsay Foisey and Riley McLaughlin
Chapter 21: Social Media and Digital Networks
Beate Völker
Chapter 22: Social Capital
Lijun Song and Zhe Zhang
Chapter 23: Social Support
William K. Carroll, Jouke Huijzer and J. P. Sapinski
Chapter 24: Corporate Networks
Christina Prell, James Hollway, Petr Matous and Yasuyuki Todo
Chapter 25: International Trade Networks
 
Part 3
M G Everett and S P Borgatti
Chapter 26: Centrality
James Moody and Peter J. Mucha.
Chapter 27: Structural Cohesion & Cohesive Groups
Lorien Jasny
Chapter 28: Multimodal social network analysis
Patrick Doreian, Anuška Ferligoj, and Vladimir Batagelj
Chapter 29: Blockmodeling, Positions and Roles
Pierson Browne, Tyler Crick, and John McLevey
Chapter 30: Inferential Network Clustering with Hierarchical Bayesian Stochastic Blockmodels
Brea Perry, Adam Roth, and Mario Small
Chapter 31: Personal Networks and Egocentric Analysis
Emmanuel Lazega and Peng Wang
Chapter 32: Multilevel Network Analysis
Johan Koskinen
Chapter 33:Exponential Random Graph Models
Tom A.B. Snijders and Christian E.G. Steglich
Chapter 34: Network Dynamics
Aaron Schecter and Noshir Contractor
Chapter 35: Relational Event Models
Hardeep Kaur, Riccardo Rastelli, Nial Friel and Adrian E. Raftery
Chapter 36: Latent Position Network Models
Filip Agneessens
Chapter 37: Negative Ties and Signed Networks
Betina Hollstein
Chapter 38: Qualitative and Mixed Methods
John R. Hipp
Chapter 39: Spatial analysis of social networks
Jimi Adams and Miranda Lubbers
Chapter 40: Social Network Data Collection: Principles and Modalities
Robert W. Krause and Mark Huisman
Chapter 41: Missing Network Data
Pierson Browne, Adam Howe, Yasmin Koop-Monteiro, Yixi Yang, and John McLevey
Chapter 42: Scientific Software for Network Analysis

Select a Purchasing Option

ISBN: 9781529779615
£135.00

SAGE Knowledge is the premier social sciences platform for SAGE and CQ Press book, reference and video content.

The platform allows researchers to cross-search and seamlessly access a wide breadth of must-have SAGE book and reference content from one source.

SAGE Research Methods is a research methods tool created to help researchers, faculty and students with their research projects. SAGE Research Methods links over 175,000 pages of SAGE’s renowned book, journal and reference content with truly advanced search and discovery tools. Researchers can explore methods concepts to help them design research projects, understand particular methods or identify a new method, conduct their research, and write up their findings. Since SAGE Research Methods focuses on methodology rather than disciplines, it can be used across the social sciences, health sciences, and more.

With SAGE Research Methods, researchers can explore their chosen method across the depth and breadth of content, expanding or refining their search as needed; read online, print, or email full-text content; utilize suggested related methods and links to related authors from SAGE Research Methods' robust library and unique features; and even share their own collections of content through Methods Lists. SAGE Research Methods contains content from over 720 books, dictionaries, encyclopedias, and handbooks, the entire “Little Green Book,” and "Little Blue Book” series, two Major Works collating a selection of journal articles, and specially commissioned videos.