Hi all, the??at the University of Kentucky offers a collection of workshops on social network analysis (SNA) every summer.? 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).?There is also access to a limited number of??with experienced research faculty to discuss your individual project(s). The?workshops?and dates?are?shown below.

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Track 1.??-?May 20 - May 22, 2024 (9:30-11:30am and 12:30-2:30pm, ET)

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?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).?

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Track 2.??-?May 20 - May 23, 2024??

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. 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?, 3rd edition,?by Borgatti, Everett, Johnson and Agneessens (2024). The cost is $1800 ($900 for students).??

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Track?3.??-?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?.?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??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).?

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Track?4.??-?May 27 - May 31, 2024?(10:00am-12:00; 12:45-2:45??ET)

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 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).?

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steve

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Ok, I think the problem is not with this particular function, but with the installation of ucinet. You might want to go through the standard set up exercises, such as these:

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Or consult with your professor.

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steve.

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Hard to say. It works for me. A few things:

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• The data contain several errors (misspelled names; diagonal values are in text format; there is a cell value of 11), but none serious enough to cause your error message. Just in case, though, you might try the attached data file.
• Are you able to do anything with Ucinet? I am wondering if there is a problem with the installation on your computer. Are you able to calculate basic measures using the standard datasets?

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steve

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Daniel, copy or re-enter the data into an excel spreadsheet, then send that.

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If you send the data, we might be able to help. Also, you might want to introduce yourself so people know how to address you.

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steve

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Leslie, imagine that betweenness is (loosely) the number of shortest paths between everyone and everyone that pass through a given node, k, weighted inversely by the number of equally short paths between the same pairs. For example, suppose we have the following ties: i -> k, k -> j, i -> p, ?p -> j, and j -> q.

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Then, with normal betweenness, node k will receive a half a point for being along one of the two equally short paths from i to j as well as another half point for being along one of the two shortest paths from i to q. But in 2-step betweenness, k will only receive points for paths of length two. So the path from i to q won’t count, as it is of length of 3.

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The reason for using 2-step betweenness is that for some kinds of social processes, such as brokering, we feel that only direct connections matter. So node k brokers the relationship between its two direct contacts i and j, but may not even be aware of q.? 2-step betweenness is particularly useful as an alternative to Burt’s structural hole measures because they take into account nodes that are not in an ego’s network. For example, k’s network consists only of i and j, not p. Structural hole measures will think that k is in a great position. But they don’t take into account the existence of p, who is also brokering between the exact same two people, and diluting k’s position.

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steve

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Hi Lilla

In the “Options” menu you can change the location of the scratch and output folders.

In the file menu you can change the default folder to be the same.

I generally recommend students to create a file specifically for UCINET and put all of your input and output files there.

-Tom

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Hi, so many things to check …

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• Does the dataset open in “display datasets” (sixth button from the left on the toolbar)?
• Is there both a ##h and ##d file? i.e., looking in windows explorer.
• How did you create the dataset? Can you redo it?
• Etc.

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steve

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Dear “student”, are you using the 64-bit version of ucinet? The n-clique routine is not compatible with that version – you should be getting an error message to that effect. So use the 32-bit version instead. The k-plex routine does work with both versions, but you’re right that the browse button (three dots) wasn’t working. I have now fixed that (version 6.781, online now). As for the output, it consists of a node by k-plex) matrix in which X(i,q)? = 1 indicates that node i is a member of k-plex q. In other words, this is a 2-mode matrix in which each column identifies a k-plex, and indicates which nodes belong to the k-plex. As a next step, you might run that matrix through Data|Affiliations to calculate a 1-mode matrix that indicates, for each pair of nodes, how many k-plexes they belong to in common. Two nodes that belong to many of the same k-plexes are members of the same social circle.

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steve

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