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Social Network Analysis
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Social Network Analysis

Fourth Edition
  • John Scott - University of Exeter, UK, University of Essex, UK, The University of Copenhagen, Denmark


© 2017 | 248 pages | SAGE Publications Ltd
This classic, best-selling text introduces newcomers to the key theories and techniques of social network analysis, while also guiding more experienced analysts through their own research. Incorporating the most important and cutting-edge developments in the field, this new Fourth Edition is thoroughly expanded and up-to-date, featuring a new chapter on data collection and updated examples reiterating the continued importance of social network analysis in an increasingly interconnected world.

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What is Social Network Analysis?
The data used in social network analysis  
Is there a network theory?  
An overview  
 
The History of Social Network Analysis
The sociogram and sociometry  
Balance and group dynamics  
Informal organization and community relations  
Matrices and cliques  
Formal models of community and kinship  
Formal methods triumphant  
Getting by without the help of your friends  
Entry of the social physicists  
 
Data Collection for Social Network Analysis
Asking questions  
Making observations  
Using documents  
Boundaries in relational data  
Positional and reputational approaches  
Does sampling make sense?  
 
Organizing and Analyzing Network Data
Matrices and relational data  
Matrix conventions  
An analysis of directorship data  
Direction and value in relational data  
Computer programs for social network analysis  
 
Terminology for Network Analysis
The language of network analysis  
More than joining up the lines  
The flow of information and resources  
Density of connections  
Density in egonets  
Problems in density measures  
A digression on absolute density  
Community structure and density  
 
Popularity, Mediation and Exclusion
Local and overall  
Mediation and betweenness  
Centrality boosts centrality  
Centralization and graph centres  
The absolute centre of a graph  
Bank centrality in corporate networks  
 
Groups, Factions and Social Divisions
Identifying subgraphs  
The components of a network  
The strength and stability of components  
Cycles and circuits  
The contours of components  
Cliques within components  
Intersecting social circles  
Components and citation circles  
 
Structural Locations, Classes and Positions
The structural equivalence of points  
Clusters and similarities  
Divide and CONCOR  
Divisions and equivalence  
Regular equivalence in roles and functions  
Corporate interlocks and participations  
 
Social Change and Development
Structural change and unintended consequences  
Small-world networks  
Modelling social change  
Testing explanations  
 
Visualizing and Modelling
Taking space seriously  
Using multidimensional scaling  
Principal components and factors  
Non-metric methods  
How many dimensions?  
Worth a thousand words?  
Elites, communities and influence  
Business elites and bank power  
 
Notes
 
Bibliography
 
Index

'One of my go-to books for Social Network Analysis.'

Barry Wellman
University of Toronto

"Clear, authoritative and accessible; everything you could possibly want and more from a social network handbook."

Martin Everett
University of Manchester

This is a great text that covers the many facets of social network analysis, including data collection and the statistical approaches to social change. I'd like to see the author eventually include a discussion of the ethical considerations in social network data collection and analysis as I think many students still have problems understanding the ethics involved in this ever changing technology.

Dr Nancy Bridier
College of Doctoral Studies, Grand Canyon University
July 7, 2017
Key features
New to This Edition:
  • A chapter on data collection, covering a crucial phase of the research process
  • Fully updated examples reiterate the continued importance of social network analysis in an increasingly interconnected world
  • Detailed ‘Further Reading’ sections help you explore the wider literature
  • Practical exercises including real-world examples of social networks enable you to apply your learning

Sample Materials & Chapters

Scott - Social Network Analysis - Chapter 1


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