Summer Workshop on SNA
by Charles Hofacker
Online courses in Social Network Analysis, Jun-Jul 2020
Author: Chance McCullough
The LINKS Center for Social Network Analysis at the University of Kentucky is offering its annual summer workshop on social network analysis (SNA) starting June 22. This year’s workshop will consist of three synchronous online tracks, two held in parallel, and a third held after the first two are done. For the most part, each track meets every other day for four hours a day. On the off days, there is homework and access to TAs or instructors. A limited number of one-on-one consultations with LINKS research faculty (Joe Labianca, Ajay Mehra, and Scott Soltis) will also be available during June 22-27 at times that do not conflict with instructional sessions. The tracks are as follows:
Track 1. Introduction to Social Network Analysis – June 22, 24 and 26
Led by Dan Brass, Rich DeJordy and Dan Halgin, this course provides a basic introduction to the theory and method of network research. Topics include theoretical perspectives, social capital, and the nuts and bolts of doing a network analysis using UCINET and Netdraw software. Starting June 22, it meets Monday, Wednesday and Friday from 9:30-11:30 and 1:30-3:30 (12 contact hours) and provides homework assignments and access to TAs on Tuesday and Thursday. The course costs $1200 ($600 for students). More details …
Track 2. Intermediate Social Network Analysis – June 22, 24, 26 and 29
Taught by Steve Borgatti this is a more technical and in-depth workshop focusing on the concepts and methods of SNA, particularly as they apply to specific research objectives. The mathematics behind the measures is explained, as well as how to use the measures in practice. UCINET software is used extensively. 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. The course costs $1400 ($700 for students). More details …
Track 3. Stochastic Models of Networks — June 30, July 1, 3, 6, 8 and 10
Taught by Filip Agneessens , this course covers ERGMs and SAOMs, two families of statistical models used to model the presence or absence of ties. While the course is introductory, prior familiarity with both statistics and network analysis is strongly advised. Starting after Track 1 and Track 2 finish, the course meets six days (22 hours in total), starting June 30. The course aims to be interactive, using breakout sessions for the exercises and using the off days to consolidate knowledge. For the off days, participants will receive homework, which includes running further analyses and interpreting results, and which they can perform in small groups of 2-3. These results will then be discussed in the next meeting. The course costs $1800 ($900 for students). More details …
Registration is open now, and will remain open until the courses have ended (latecomers can catch up by watching videos). Registrants may cancel for a full refund up to midnight of June 21. Students (currently enrolled at any level) can enter the promo code “Student” at registration in order to receive the 50% discount. Additional (half price) discounts for members of the University of Kentucky community. UK faculty & staff should enter promo code “UK-Faculty” while students should use “UK-Student”. To register click here.
If you have any questions, please contact Scott Soltis <firstname.lastname@example.org>.