Introduction to social network analysis using UCINET and Netdraw

Introduction to social network analysis using UCINET and Netdraw

To book a place in the course, please use our booking form. You can review details on fees here. The course fee is for a single course, and includes 28 hours of face-to-face teaching over 5 days, and lunch on 4 days. Once your booking has been processed please visit the e-store to pay by credit or debit card.

Course Requirements:

The emphasis of this course is on substantive concepts and hands-on practical experience of using the software packages UCINET and Netdraw but background theoretical material will be presented as necessary. It is advisable for participants to bring their own laptops running windows (Macs will need to have a pc emulator) and to have downloaded the software in advance. This can be done for a free period of time from the website www.analytictech.com

Course Summary:

This is an introductory course, covering 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 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

Target Audience

The course is aimed at researchers who have substantive questions of that involve the study of relations between units, such as relations between people, organisations or countries.

Preliminary Reading

  • David Knoke, Song Yang (2008) Social Network Analysis (2ND edition)
  • Scott J (2000) Social Network Analysis: A handbook. Sage.
  • M. A. J. van Duijn & J. K. Vermunt (2006) What Is Special about Social Network Analysis? Methodology 2006; Vol. 2(1):2–6
  • Robert Hanneman and Mark Riddle (2005) Introduction to social network methods http://www.faculty.ucr.edu/~hanneman/nettext
  • Borgatti et al., 2013, Analyzing Social Networks. Sage, London

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