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Well that's a nice surprise! Stephen P. Borgatti Carol Martin Gatton Chair of Management Gatton College of Business and Economics University of Kentucky

Thanks for your reply, Steve. BTW, there is a help file for LRQAP. (Which you can find by searching Help.) It's just that it is not currently linked to the procedure. DBT

Yeah it's a good idea. And definitely need a help file for lrqap.

Is there a option for regular logistic regression using permutation tests in UCINET? (E.g., at the Node level?) (Like there is for OLS.) (It might be useful for some of us.) I don't see one in the

I've never even heard of elastic net regression. Perhaps others can help? Obviously, if it were an ordinary logistic regression, and if 1=present and 0=absent, then a negative coefficient would

Steve, hello! I didn't see your answer until now. Thanks for the reply. Yes, it's a specific routine where I encounter the problem, It's the export|DL (not legacy) that's the issue. As you can see in

The independent variable "betweenness centrality?score" in my data is ranged between 0 and 4.79 (on continuous scale) for undirected nodes, whereas the dependent/outcome variable "infection status

Thanks a lot, Steve! This is really helpful. Can't imagine I forgot such a basic principle. Appreciate your help! Best, Simon

Simon, if you had a categorical variable with two categories, such as male and female, and you created two dummies ('ismale', 'isfemale') and then used both as independent variables, the regression

Hi everyone, I hope you are doing well. When I used UCINET to test a node-level hypothesis, something went wrong. My dependent variable is centrality, and my independent variables are some

Is it a specific routine that is screwing up? If I enter data with these names into the dl editor using a recent version of UCINET, like this: [cid:image001.png@...] It produces this

Hello everyone! Working with network datasets in Scandinavia presents a few issues concerning names. In short, characters such as umlauts or "o with stroke" aren't recognized. For example, names

Whoops. So to try this with other data I tried the Southern Women reduced to 1-mode. Unpacking generates no output. When I looked up the Zacchary Karate Club (zackar) I see that it was composed of

Thank you Prof. Borgatti! The solution suggested by you works! Best, Chuding Steve Borgatti <sborgatti@...> 于2023年1月27日周五 02:36写道：

Hello I'm having this message when I tried to do reciprocity. I received error messages for both NodeReciprocity and GroupReciprocity. The input dataset is an h file, and the method I used is

Chuding, you can make your own replacena. Assume your matrix is called X. Then these lines Xt <- t(X) X[is.na(X)] = Xt[is.na(X)] will replace your missing rows with their corresponding columns. Note

Thanks so much, Steve—I was concerned that my issue was too trivial for any attention. I won’t be back at my PC in my office until sometime next week so I’ll wait for the official fix—and I

Hi Katherine, I took a look at the code and it turns out that the vna files don't save the arrowhead info (nor look for it when reading). I've fixed that now, but won't upload until the weekend so

Dear all, I used to analyze social network data with UCINET. And recently I am trying to use the xUCINET package to do the analyses considering its flexibility. Now I have a question about imputing

I've been having some odd interactions with Netdraw--both when I open a UCINet data file or the original dl file. The original files themselves are fine --UCINet likes my dl file. I can open both data