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).
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.
Familiarity with matrices and simple mathematical notation.