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Many thanks for your useful answer.? ..............................................................................Dr. Amer Ali Al-Atwi

There are two ways one could define density with valued data. One way is to average all values. In this case, density is really average tie strength, and the values would not, in your case, be between

Dear UCINET group, How can I calculate network density when group members are rated on scale :4 = always, 3=very often, 2=sometimes, 1=seldom, and 0 = never Does network density remain its range

That did the trick beautifully! Also the example was easily seen which I tried first. I really like the ability to select node name. Anyone else interested make sure you get the latest version.

When I create my maps, the names of my nodes are very long and make the map too crowded. Is there a way to assign numbers to nodes? Then I can just attach a key that indicates which number is which

Hello everyone, I would like to know if there is a Ucinet alternative to Chi-Square to compare data from three groups of countries. ??Some of the numerical values in the data are less than 5.?Data

Maybe there is a setting on your gmail that would allow you to receive images. In the current version of ucinet (6.677, and possibly earlier – I seem to have failed to record the change), you can go

Well, it is not an artifact of group size. The t-test is about means, so it doesn’t matter whether one group is larger than the other – the smaller group could have the larger mean. BUT … there

Yes, that worked well and was very clear although the example image did not appear in my browser, the text sufficed. However, my challenge is that I have 167 nodes with 26,438 ties (yes, it is dense

Hi, I have a network where 75% of nodes have a certain attribute (let's say positive) and 25% of nodes are negative. If I run permutations t-tests in UCINET to test the difference in the means of

One way is via netdraw. For example, open the campnet dataset in netdraw, and then choose “ego” from the toolbar. Select Holly as the node, and then set the distances to and from Holly to 2. Like

In one of my datasets I have an actor that does not score high on eigenvector or degree, but very high on 2-step centrality. What would be the best way to quickly identify their 1 and 2-step

Hello All: While I know I have done it before, for the life of me I am forgetting to how to important – or what the best import strategy would be for data that is structured as

California State University, Fresno is offering a 3.5 day workshop, "Introduction to Analyzing Social Networks Using UCINET" from May 28-31 (the week after Memorial Day). In addition to a Keynote

Hello Fellow SNAers! I'm a humanities scholar who is working with networks (and indeed statistics) for the first time, so please forgive what are likely to be silly questions. I am tracking the

As I understand it, you have an adjacency matrix that 2k by 2k. You have physical distance matrix that is 2k by 2k. You want to create a copy of the adjacency matrix with one change: all pairs of

Most of my datasets so far have been in the 50-100 node range. However, when trying a larger dataset consisting of 2147 cases and 849 affiliations (all binary) UCINET crashes with different error

Yes, that solved the problem. Thanks very much!

I’m not sure what the problem was, but I think I fixed it. In version 6.676, on the web now. steve Sent: Saturday, April 6, 2019 17:14 To: ucinet@... Subject: [UCINET] Export to Pajek

Dear Ucinet users, I currently have a 2k*2k network. I wanted to change the adjacent matrix value based on the distance between any two nodes. For example, replace e(I, J)=1 if d(i, j)<50, where