Hi all, this is to announce a set of online workshops offered this June by the University of Kentucky’s LINKS Center for Social Network Analysis. The website for the 2023 workshops is .

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Introduction

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The at the University of Kentucky offers a series of workshops on social network analysis (SNA) every summer, usually in June.? This year we are offering four synchronous online workshops (conducted over Zoom).? Each workshop meets for 3 to 5 days for about four hours a day (not including optional extra sessions in some of the workshops). The workshops and dates are shown below.

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In addition, workshop participants will also have access to a limited number of with experienced research faculty to discuss your individual project(s).

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Track 1. - May 31 - June 2, 2023 (9:30-11:30am and 12:30-2:30pm, ET)

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Led by? , and , 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 June May 31, it meets Wednesday, Thursday, and Friday 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 TAs.? The course costs $1500 ($750 for students).

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Track 2. - June 5-9, 2023 (10:00-12:00am and 12:45-2:45pm, ET)

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Taught by ,? 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. Although we don’t use R in this workshop, the course is closely tied to the book R by Borgatti, Everett, Johnson and Agneessens (2022). The course meets Monday through Friday June 5-9 in two daily sessions 10:00am-12:00pm ET and 12:45pm-2:45pm ET. The fifth day is led by the TAs.?The course costs $1800 ($900 for students).?

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Track 3. - June 5-9, 2023 (10:00-12:00am and 12:45-2:45pm, ET)

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Taught by and . Like Track 2, 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 the R package 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 meets five times starting June 5 with each instructional day consisting of two sessions: 10:00am-12:15pm ET and 12:45pm-3:00pm ET. Participants will receive homework, which includes running analyses and interpreting results, which they can perform in small groups of 2 or 3. These results are then discussed at the next meeting.?The course is closely tied to the book R by Borgatti, Everett, Johnson and Agneessens (2022). The course costs $1800 ($900 for students).

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Track 4. - June 12-16, 2023 (10:00-12:00am; 12:45-2:45pm; and 3:30-5pm, ET)

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Taught by , 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 aims to be interactive, using breakout sessions for the exercises and time between classes to consolidate knowledge. Participants will receive homework involving running further analyses and interpreting result. The homework can be performed in small groups of 2 or 3. These results are then discussed at the next meeting. The course includes an optional extra session at the end of each day for questions, problems, etc. The course costs $1800 ($900 for students).

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Registration

Registration is not yet open. Once it opens (see website for link), it will remain open until 48 hours prior to the start of each track or when the track reaches capacity. Registrants may cancel for a full refund up to 24 hours before the start of their track(s).?Students receive a 50% discount.?Additional (half price) discounts are available for members of the University of Kentucky community.??

Contact

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The website for this workshop is .? If you have any questions, please contact Scott Soltis <scott.m.soltis@...>.? In addition, visit your specific track to get contact information about your instructors and TAs.

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Thanks

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steve

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