I guess this is my week for questions and issues. I am trying to import an Excel spreadsheet file (.xlsx) and UCINET crashes with this message: "TProgressBar property out of range"

I am running UCINET 6.676 and the dataset is 2-mode (588x488). I can't even create a smaller 1-mode as importing is crashing. I am using the 6.676 version as the 6.683 version does strange things with header labels on output in the log file (with 2-mode analyses).

I suspect UCINET is unhappy with the dataset size, especially the column number. Thanks.

In UCINET I can easily choose 2-mode analysis to show network cohesion values such as diameter and radius. However, with 1-mode analysis of the converted matrix I cannot seem to locate where one can find diameter and radius although there are several others displayed (28), i.e., Network-->Whole Network-->Multiple Measures. Any advice is welcome.

I want to binarize some continuous data (latitude, longitude) such that the datasets are all binary. It also seems that network analysis software is more "friendly" towards binary data.in my testing so far. The method I am considering is simply coding for presence absence of either the mean+/1SD or not, which should capture 2/3 of similar values. One could break each continuous attribute into several categories but that would greatly add the number of attributes when originally there was only one attribute. Any other ideas would be welcome. Thanks.

I tried to post this reply yesterday but it apparently disappeared. Apologies if this is a repeat post.

This is one of the things I did in a recent study (currently under review).

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We wanted to determine whether geographical proximity influences the decision of local councils in England to collaborate. I calculated the distance between each pair of councils from their published latitude and longitude coordinates. I had to transform the coordinates to account for the different ‘sizes’ of degrees lat and long in England (that is, converting the lat and long coordinates to miles relative to a convenient origin). Then I used UCINET’s matrix operations to calculate the Euclidean distances between each pair of councils. (Perhaps the ‘tools’ command does this more conveniently – I didn’t try that.)

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We used the matrix of council-council partnerships as the dependent variable and the matrix of inter-council distances as an independent variable for MR-QAP (in fact we found that administrative boundaries were more important than simple proximity). We also looked at the distribution of distances between councils in various types of partnership.

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This paper gives some examples and references: Clio Andris (2016) ‘Integrating social network data into GISystems’ International Journal of Geographical Information Science, 30:10, pp.2009-2031?

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I'm not an expert on SNA, so hope this is useful!

Ruth

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I tried to post this reply yesterday but it apparently disappeared. Apologies if this is a repeat post.

This is one of the things I did in a recent study (currently under review).

?

We wanted to determine whether geographical proximity influences the decision of local councils in England to collaborate. I calculated the distance between each pair of councils from their published latitude and longitude coordinates. I had to transform the coordinates to account for the different ‘sizes’ of degrees lat and long in England (that is, converting the lat and long coordinates to miles relative to a convenient origin). Then I used UCINET’s matrix operations to calculate the Euclidean distances between each pair of councils. (Perhaps the ‘tools’ command does this more conveniently – I didn’t try that.)

?

We used the matrix of council-council partnerships as the dependent variable and the matrix of inter-council distances as an independent variable for MR-QAP (in fact we found that administrative boundaries were more important than simple proximity). We also looked at the distribution of distances between councils in various types of partnership.

?

This paper gives some examples and references: Clio Andris (2016) ‘Integrating social network data into GISystems’ International Journal of Geographical Information Science, 30:10, pp.2009-2031?

?

I'm not an expert on SNA, so hope this is useful!

Ruth

?

This is one of the things I did in a recent study (currently under review).

We wanted to determine how much geographical proximity influences the decision of local councils in England to collaborate. I calculated the distance between each pair of councils from their published latitude and longitude coordinates. I had to transform the coordinates to account for the different ‘sizes’ of degrees lat and long in England (that is, converting the lat and long coordinates to miles relative to a convenient origin). Then I used UCINET’s matrix operations to calculate the Euclidean distances between each pair of councils. (Perhaps the ‘tools’ command does this more conveniently – I didn’t try that.)

We used the matrix of council-council partnerships as the dependent variable and the matrix of inter-council distances as an independent variable for MR-QAP (in fact we found that administrative boundaries were more important than simple proximity). We also looked at the distribution of distances between councils in various types of partnership.

This paper gives some examples and references: Clio Andris (2016) ‘Integrating social network data into GISystems’ International Journal of Geographical Information Science, 30:10, pp.2009-2031

I'm not an expert on SNA, and hope this is useful!

Ruth

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I am missing something when using keyplayer in UCINET. No matter how many nodes I select, 3, 5, 7, 10 keyplayer selects the first 3, 5, 7, or 10 individuals in the UCINET dataset (which are in alphabetical order). I am using version 1.45 and studying fragmentation. I though keyplayer would identify 3, 5, 7, etc names of the keyplayers that when removed would cause fragmentation. Any ideas of what I doing wrong would be appreciated.

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