Social Network Analysis
Introduction
Online Workshops from the LINKS Center for Social Network Analysis, University of Kentucky, May 2024
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POSTING TYPE: Events
Posted by: Susan Zhu
Online Workshops on Social Network Analysis
from the University of Kentucky
Hi all, the LINKS Center for Social Network Analysis
Click here to see all information regarding the following tracks:
Track 1. Introduction to Social Network Analysis – May 20 – May 22, 2024 (9:30-11:30am and 12:30-2:30pm, ET)
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 (both Windows programs). Starting May 20th, it meets Monday, Tuesday, through Wednesday from 9:30am-11:30am ET (New York time) and 12:30pm-2:30pm ET (12 contact hours) and provides homework assignments and access to a TA. The course costs $1500 ($750 for students).
Track 2. Intermediate Social Network Analysis (UCINET) – May 20 – May 23, 2024
Taught by Steve Borgatti, this is a more technical and in-depth workshop focusing on the concepts and methods of SNA, with particular emphasis on relating network measures to research goals. The mathematics behind the measures is explained, as well as how to use the measures in a research context. UCINET for Windows software is used extensively. Starting May 20, the course meets Monday through Thursday, from 10am-12:00pm ET and 12:30pm-2:30pm ET each day. The course is closely tied to the book Analyzing Social Networks, 3rd edition, by Borgatti, Everett, Johnson and Agneessens (2024). The cost is $1800 ($900 for students).
Track 3. Intermediate Social Network Analysis (R) – May 20 – May 24, 2024 (9:30-11:45am; 12:30-2:15pm; and 2:30-3:00pm ET on May 20-23 / 9:30-11:45am ET on Friday May 24)
Taught by Filip Agneessens. This is a more technical and in-depth workshop than the intro workshop, focusing on the concepts and methods of SNA, particularly as they apply to specific research objectives. This workshop uses specialized R packages, such as igraph, sna and xUCINET, rather than Windows UCINET. Basic familiarity with R is helpful but not required. The mathematics behind the measures is explained, as well as how to use the measures in practice. The course is designed to be accompanied by the book Analyzing Social Networks Using R by Borgatti, Everett, Johnson and Agneessens (2022). The course meets from Monday May 20 to Friday May 24. The first four days (20-23 May) consisting of two sessions: 9:30-11:45am ET and 12:30-2:15pm ET, followed by an exercise session from 2:30-3:00pm. On Friday morning May 24, we meet from 9:30 to 11:45am ET. Participants will receive homework, which includes running analyses and interpreting results. The course costs $1800 ($900 for ! students).
Track 4. Stochastic Models of Networks – May 27 – May 31, 2024 (10:00am-12:00; 12:45-2:45 ET)
Taught by Robert Krause, 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. The course is supported by a series of video lectures. There will be time to discuss your specific research questions, data concerns, and interpretation of your model. The course costs $1800 ($900 for students).