##
Martin Everett

An introduction to Social Network Analysis using UCINET

Martin Everett is Professor of Applicable Mathematics at the University
of Greenwich in England. He has published widely on social networks and
is co-author of the software package UCINET. Currently he is president
of the International Network of Social Network Analysts (INSNA).

Web page

A beginner's course on the concepts, methods and data analysis
techniques of social network analysis. The course begins with a general
introduction to the distinct goals and perspectives of network analysis,
followed by a practical discussion of network data, covering issues of
collection, validity, visualization, and mathematical/computer
representation. We then take up the methods of detection and description
of structural
properties such as centrality, cohesion, subgroups, cores, roles, etc.

Finally, we consider how to frame and test network hypotheses. An
important element of this workshop is that it is structured around the
analytical software UCINET 5 for Windows and the visualization software
Mage and Pajek.

## Bibliography

- Scott, J., 1992, Social Network Analysis. Newbury Park CA: Sage.
- Wasserman, S. and K. Faust, 1994, Social Network Analysis. Cambridge: Cambridge University Press.

## Prerequisites

Familiarity with matrices and simple mathematical notation.