You are here

Social Network Analysis

Social Network Analysis

Fourth Edition
  • John Scott - Visiting Professor, University of Essex, UK

March 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.

Available with Perusall—an eBook that makes it easier to prepare for class
Perusall is an award-winning eBook platform featuring social annotation tools that allow students and instructors to collaboratively mark up and discuss their SAGE textbook. Backed by research and supported by technological innovations developed at Harvard University, this process of learning through collaborative annotation keeps your students engaged and makes teaching easier and more effective. Learn more.

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


'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

Good read and introductory information for the beginning scholar

Miss burcu gumus
Communication Sciences, Dogus University
September 27, 2018

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

For instructors

Select a Purchasing Option

Electronic version
Prices from

ISBN: 9781473952126

ISBN: 9781473952119

This title is also available on SAGE Research Methods, the ultimate digital methods library. If your library doesn’t have access, ask your librarian to start a trial.