Intermediate SNA UCINET
This course is taught by Steve Borgatti. It is a more technical and in-depth workshop than the Introductory workshop, but covers many of the same concepts. It focuses on the concepts and methods of SNA, particularly as they apply to specific research objectives. In this course, everything is related back to the research questions -- how the network analysis relates to consequences of interest. In addition, the mathematics and algorithms behind the measures and techniques are explained. Prior familiarity with network analysis and research in general is assumed.
This workshop uses the UCINET software package extensively. Important note: UCINET is Windows-only software. Please visit our software page in advance of the workshop.
The course meets for four consecutive days starting June 13: Monday, Tuesday, Wednesday, and Thursday from 10:00-12:00 EDT and 12:30-2:30 EDT for a total of 12 contact hours. There is a half-hour lunch break at 12. TAs (scroll down for contact info) will be available during the sessions to catch people up, answer questions, and bring questions to the instructor's attention. The TAs will also be available for an hour before and after each session for both group and 1-on-1 work, including help with homework assignments.
Zoom info will be emailed to participants a few days before the workshop. In addition, you will be given access to a portal containing links to slides, videos, exercises, handouts, etc.
1 Monday - Intro
Overview of network analysis: the network perspective
Working with network data in UCINET
Visualizing network data
2 Tuesday – Node-level measures
Characterizing a node's immediate environment
3 Wednesday – Statistical models
MR-QAP & LR-QAP
Brief introduction to ERGM & related models
3 Wednesday – Groups
TA contact information
Han, Jaeyun <firstname.lastname@example.org> Education
Ross, Jason R. <email@example.com> Management
Terwilliger, Chelle <firstname.lastname@example.org> Forestry & Conservation
Yang, Seong Won <email@example.com> Management
Borgatti, SP, Everett, MG & Johnson, JC. 2018. Analyzing Social Networks. 2nd Edition. London: Sage.
Although we won't be using R in the workshop, you might be interested in our new book, Analyzing Social Networks Using R (2022).
Borgatti, SP and Everett, MG. 2021? “Three Perspectives on Centrality.” In The Oxford Handbook of Social Networks, edited by James Moody. Oxford University Press [pdf]
In case some people have issues with using the "data for learning ucinet.xlsx" file, some key datasets in ucinet format can be found here