Intermediate SNA
Overview
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 is explained. Prior familiarity with network analysis and research in general is assumed.
UCINET software is used extensively. Please visit our software page long in advance of the workshop. Important note: UCINET is Windows software.
The course meets four times starting June 22: Monday, Wednesday, Friday, and Monday from 9:30-11:30 and 1:30-3:30 (16 contact hours). On the off days, students work on homework assignments with the help of the TAs (scroll down for contact info). For the homework assignments, students are encouraged to use their own data in addition to the Ucinet datasets.
Schedule
Monday morning - Fundamentals from an advanced point of view
What are we trying to do? The network perspective
Graph traversals
Monday afternoon - Working with data
Entering data in UCINET
2-mode to 1-mode conversions
Data management and visualization
Tuesday
Homework assignments
Work with TA
Wednesday morning – Node-level constructs
Centrality
Wednesday afternoon – Node-level constructs
More centrality
Ego network measures
Thursday
Homework assignments
Work with TA
Friday morning – Testing hypotheses
MR-QAP & LR-QAP
Friday afternoon – Testing hypotheses
Panel QAP
ERGMs, SAOMs, REMs
Saturday
Homework assignments
Work with TA
Monday morning - Groups
Characterizing groups
Detecting groups/communities
Monday afternoon – Wrap-up
Parting comments
Questions
Recommended Readings
Borgatti, SP, Everett, MG & Johnson, JC. 2018. Analyzing Social Networks. 2nd Edition. London: Sage.
Borgatti, SP and Everett, MG. (Accepted, to appear in 2020). “Three Perspectives on Centrality.” In The Oxford Handbook of Social Networks, edited by James Moody. Oxford University Press [pdf]
TA contact information
Yang, Seong Won <sw.yang@uky.edu> (head TA)
Ross, Jason R. <jason.ross1@uky.edu>
Liu, Lulu <Lulu.Liu@uky.edu>
Kang, Diane <DianeKang@uky.edu>