Introduction to social network methods

Table of contents

This on-line textbook introduces many of the basics of formal approaches to the analysis of social networks.  The text relies heavily on the work of Freeman, Borgatti, and Everett (the authors of the UCINET software package). The materials here, and their organization, were also very strongly influenced by the text of Wasserman and Faust, and by a graduate seminar conducted by Professor Phillip Bonacich at UCLA.  Many other users have also made very helpful comments and suggestions based on the first version.   Errors and omissions, of course, are the responsibility of the authors.

You are invited to use and redistribute this text freely -- but please acknowledge the source.

Hanneman, Robert A. and Mark Riddle.  2005.  Introduction to social network methods.  Riverside, CA:  University of California, Riverside ( published in digital form at http://faculty.ucr.edu/~hanneman/ )

Preface
1.    Social network data
2.    Why formal methods?
3.    Using graphs to represent social relations
4.    Working with Netdraw to visualize graphs
5.    Using matrices to represent social relations
6.    Working with network data
7.    Connection
8.    Embedding
9.    Ego networks
10.  Centrality and power
11.  Cliques and sub-groups
12.  Positions and roles: The idea of equivalence
13.  Measures of similarity and structural equivalence
14.  Automorphic equivalence
15.  Regular equivalence
16.  Multiplex networks
17. Two-mode networks
18.  Some statistical tools
After word
Bibliography