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It’s the sum of degrees of one’s friends. For example, look at Jennie in this picture Her friends are Pat, Pam and Ann. Pat has 4 friends, Pam has 5 and Ann has 3. The sum is 12, which is

I understand most centrality measures but can not find a definition of 2-local eigenvector centrality or a reference citation. Any suggestions? Thank you.

The Gatton College of Business and Economics' Department of Management invites applications for a one-year postdoctoral position in the area of social network analysis and network science, with a

I'm having problems with exporting my data (116 symmetric) file to Pajek net format. I can easily do the task with Southern Women dataset or Knokburr, but UCINET crashes whenever it tries my dataset.

When calculating centralities, 2-Local (eigenvector centrality) is also computed. Where might one find a explanation or comparison with eigenvector centrality? Not found so far in the Help or searches

Please join Statistical Horizons in Philadelphia for a 2-day seminar... Introduction to Social Network Analysis Taught by Dr. Stephen Borgatti May 3-4, 2019, Philadelphia This 2-day intensive workshop

Of potential interest to the list: I am teaching two workshops this summer on Social Network Analysis using UCINET. They are: May 28-31 A 3.5 Day workshop the week after Memorial Day Hosted by Fresno

Jordan, can you send me the data (steve.borgatti@...<mailto:steve.borgatti@...>)? steve Sent: Saturday, March 30, 2019 15:17 To: Jordan Tchilingirian <jst50@...> Subject: [UCINET]

Dear group, Sorry to disturb your weekend. I’m having a spot of bother with centrality scores and was wondering if anyone has a solution or work around. Data: Valued 1 mode (4028 x 4028) created

Thank you so much for the reply, helps a lot! ---In ucinet@..., <steve.borgatti@...> wrote : It might be clearer to say that, across 10,000 random assignments of persons to groups, the

It might be clearer to say that, across 10,000 random assignments of persons to groups, the probability of observing a difference as large as 29.756 is exceedingly low – less than .001. But yes,

Hi! it's the first time I use the t-test tool and I just want to make sure I interpreted the results correctly. I am posting the results of the Tools>Testing Hypotheses>Node-Level>T-Test my dependent

Jen, try ->dsp centdiff(padgm padgb undir) As for densitydiff, as I explained before, your version of the program is calculating things correctly but is printing the wrong label: in the output, it is

Dear Professor Borgatti:Thank you for your information about my question!I try to follow the steps you suggest. However, it always come up with the problems.?Can you help me to solve the problem

Jen, first, you’re right: it’s mislabeled. But it is doing density. As for the numbers, is it possible your data are valued? If so, the program will use average tie strength. If your

Dear UCINET user group, I used UCINET to calculate some network centrality measures, one of them is eigenvector measure, and I got many negative values of eigenvector although I have tried to check

Dear UCInet user group, Although I use netdraw regularly, I’m looking at some alternate data vis packages that are compatible with UCINet. They often want DL files. Looking at the UCInet help I have

Hi Steve, Thank you so much, this is really helpful. Best wishes, Bec Sent: Monday, 18 March 2019 7:53 AM To: ucinet@... Subject: RE: [UCINET] new Multiple cohesion measures Hi Rebecca,

Hi Rebecca, the help files are little behind. A quick description can be found here: https://drive.google.com/open?id=1Ra0zZ4H4hGSrZApZF-q1ZVbyVO0JsRT-rgbWud0lr2M steve Sent: Monday, March 4, 2019

Dear All: I try to compare with the densities of two different networks. The result come as followings: ->dsp densitydiff(Network1Rows Netork2Rows undir) Bootstrap SE1 = 0.1354 Bootstrap SE2 = 0.2363