This looks like a great opportunity to learn more about SNA:

Course at Mitchell Centre

University of Manchester

Introduction to social network analysis using UCINET and Netdraw

4 - 8 July 2016

Overview

This is an introductory course, covering the concepts, methods and data analysis techniques of social network analysis. The course is based on the book "Analyzing Social Networks" by Borgatti et al. (Sage) and all participants will be issued with a copy of the book. The course begins with a general introduction to the distinct goals and perspectives of social 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 and positional analysis techniques. This is a hands on course largely based around the use of UCINET software, and will give participants experience of analyzing real social network data using the techniques covered in the workshop. No prior knowledge of social network analysis is assumed for this course.

Course objectives

The course will:

1. Introduce the idea of Social Network Analysis

2. Explain how to describe and visualise networks using specialist software (UCINET)

3. Explain key concepts of Social Network Analysis (e.g. Cohesion, Brokerage).

4. Provide hands-on training to use software to investigate social network structure

Course timetable

Day one

Introduction to Social Network Analysis, terminology and the software UCINET/Netdraw. Chapters 1 and 2

Day two

Morning - Collecting Social Network Data and Research Design. Chapters 3 and 4

Afternoon - Data mangement and Visualization. Chapter 5 and 7

Day three

Morning - Multivariate techniques and whole networks. Chapters 6 and 9.

Afternoon - Centrality and Ego networks. Chapter 10 and 15.

Day four

Morning - Equivalence and core-periphery. Chapter 12

Afternoon - Subgroups and two-mode networks. Chapters 11 and 13

Day five

Morning - Testing hypothesis and Large networks. Chapters 8 and 14.

Chapter numbers refer to the book "Analyzing Social Networks by Borgatti et al. (Sage). Timetable is subject to change.

More info at http://www.methods.manchester.ac.uk/events/summer-school-2016/courses/social-network-analysis/#d.en.436564

Martin Everett

Professor of Social Network Analysis

Mitchell Centre for Social Network Analysis

University of Manchester

Arthur Lewis Building

Bridgeforth Street

Manchester M13 9PL

Tel (0)161 275 2515