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
toggle quoted message
Show quoted text
On 2023-02-08 6:04 p.m., Steve Borgatti wrote: [CAUTION: Non-UBC Email]
Yeah it's a good idea. And definitely need a help file for lrqap.
-----Original Message-----
From: [email protected] <[email protected]> On Behalf Of David Tindall via groups.io
Sent: Wednesday, February 8, 2023 20:09
To: [email protected]
Cc: tindall@...
Subject: [ucinet] Logistic Regression
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 version of UCINET I have. Though, of course, there is one for the QAP version at the dyadic level.
Also, while I'm here, on my version (6.755) the help button for LR-QAP
is not linked to the right help item (it is linked to DOUBLE DEKKER SEMI
PARTIALLING MRQAP).
Sincerely,
David Tindall
--
David Tindall
Professor
Department of Sociology, University of British Columbia
Chair
Environment and Society Minor, Faculty of Arts, University of British Columbia
Mailing address:
Department of Sociology
University of British Columbia
6303 N.W. Marine Drive
Vancouver, British Columbia
Canada V6T 1Z1
Office Location: Anthropology and Sociology Building Room 1317
E-mail: tindall@...
|
Yeah it's a good idea. And definitely need a help file for lrqap.
toggle quoted message
Show quoted text
-----Original Message----- From: [email protected] < [email protected]> On Behalf Of David Tindall via groups.io Sent: Wednesday, February 8, 2023 20:09 To: [email protected]Cc: tindall@... Subject: [ucinet] Logistic Regression 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 version of UCINET I have. Though, of course, there is one for the QAP version at the dyadic level. Also, while I'm here, on my version (6.755) the help button for LR-QAP is not linked to the right help item (it is linked to DOUBLE DEKKER SEMI PARTIALLING MRQAP). Sincerely, David Tindall -- David Tindall Professor Department of Sociology, University of British Columbia Chair Environment and Society Minor, Faculty of Arts, University of British Columbia Mailing address: Department of Sociology University of British Columbia 6303 N.W. Marine Drive Vancouver, British Columbia Canada V6T 1Z1 Office Location: Anthropology and Sociology Building Room 1317 E-mail: tindall@...
|
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 version of UCINET I have. Though, of course, there is one for the QAP version at the dyadic level.
Also, while I'm here, on my version (6.755) the help button for LR-QAP is not linked to the right help item (it is linked to DOUBLE DEKKER SEMI PARTIALLING MRQAP).
Sincerely,
David Tindall
--
David Tindall
Professor
Department of Sociology, University of British Columbia
Chair
Environment and Society Minor, Faculty of Arts, University of British Columbia
Mailing address:
Department of Sociology
University of British Columbia
6303 N.W. Marine Drive
Vancouver, British Columbia
Canada V6T 1Z1
Office Location: Anthropology and Sociology Building Room 1317
E-mail: tindall@...
|
Re: Help with interpretation: Betweenness centrality score and infection status
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 indicate that betweenness reduces the log odds of infection. Would have to know a lot more
about the context and data to guess at possible mechanisms. Eg., does infection spread within dense clusters and high betweenness nodes are often marginal to those clusters, reducing risk?
?
steve
?
Stephen P. Borgatti
Carol Martin Gatton Chair of Management
Gatton College of Business and Economics
University of Kentucky
?
toggle quoted message
Show quoted text
From: [email protected] < [email protected]> On Behalf Of
Shovon Chakma via groups.io
Sent: Wednesday, February 8, 2023 00:34
To: [email protected]
Subject: [ucinet] Help with interpretation: Betweenness centrality score and infection status
?
?
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 present/absent" in my data is binary?i.e., 0 or 1. I performed elastic net regression to estimate the effect size and found a negative?coefficient value. Could someone from the group help me how to interpret this result?
Thank you
Shovon
|
Re: Foreign Alphabets
#help
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 attachment there are problems handling letters and characters that I routinely come across in Norwegian and Swedish datasets.
I plan to upload that list into Excel for use in another program and see now way (at present) to avoid having to manually change the names containing these characters.
Any help you could provide would be much appreciated and, of course, a real time saver.
thoughtfully Starling
On Thu, Feb 2, 2023 at 5:06 PM Steve Borgatti < sborgatti@...> wrote:
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:
?
?
It produces this output:
?
IMPORT DATA VIA DL EDITOR
--------------------------------------------------------------------------------
?
?
?
??????????????? 1 2 3 4
????????????????B B S ?
????????????????? ? t d
????????????????r ? a e
????????????????d s r g
????????????????????l ?
????????????????????i r
????????????????????n d
????????????????????g??
????????????????- - - -
?????1???? B?rd 0 0 1 0
?????2???? B??s 1 0 0 0
?????3 Starling????????
?????4? ?deg?rd 1 1 0 0
?
4 rows, 4 columns, 1 levels.
?
Output UCINET file:????? ???????????????starling (C:\Users\Steve Borgatti\Dropbox\data\ucinet data\starling
?
?
--------------------------------------
Running time: 00:00:11 seconds.
Output generated: 02 Feb 23 10:54:42
?
And a further analysis looks like this:
?
->dsp degree(starling)
Normalized = no
See also: indegree and outdegree functions
?
?
?
???????????????
1 2 3
????????????????D O I
????????????????e u n
????????????????g t d
????????????????r d e
????????????????e e g
????????????????e g r
??????????????????r e
??????????????????e e
??????????????????e??
????????????????- - -
?????1???? B?rd 3 1 2
?????2???? B??s 2 1 1
?????3 Starling 1 0 1
?????4? ?deg?rd 2 2 0
?
4 rows, 3 columns, 1 levels.
?
?
So, if your version of ucinet is not from the last few years, then upgrade. If it is recent, tell me exactly what procedures you used to read in the data and/or analyze it. Perhaps older routines don’t understand
Unicode.
?
steve
?
Stephen P. Borgatti
Carol Martin Gatton Chair of Management
Gatton College of Business and Economics
University of Kentucky
?
?
?
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 like?B??s or?B?rd or ?deg?rd get quite mangled in the output. I either have to Anglicize the names (not always appreciated), use digraphs, e.g. use "oe" for "o with stroke", or manually replace them in the output.
Are there any solutions for this, specifically a way? to get UCINET to recognize these characters?
thoughtfully
Starling
Also working with a few datasets in the Middle East but given the above, I'll assume for now that dealing Arabic script is a complete non-starter!
|
Help with interpretation: Betweenness centrality score and infection status
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 present/absent" in my data is binary?i.e., 0 or 1. I performed elastic net regression to estimate the effect size and found a negative?coefficient value. Could someone from the group help me how to interpret this result?
Thank you
Shovon
|
Thanks a lot, Steve! This is really helpful. Can't imagine I forgot such a basic principle.?Appreciate your help!
Best, Simon
On Mon, Feb 6, 2023 at 5:35 PM Steve Borgatti < sborgatti@...> wrote:
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 would fail
because of perfect multi-collinearity. You have to use all but one dummy variable. Could that be what happened here?
?
steve
?
Stephen P. Borgatti
Carol Martin Gatton Chair of Management
Gatton College of Business and Economics
University of Kentucky
?
?
?
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 dummy?variables and some continuous variables. When I include all dummy variables, all Beta, T, and c.Sig disappear, whereas all p.Sig are 1. When I reduce one dummy variable, it becomes normal. Could anyone explain how this happens? Thanks.
|
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 would fail
because of perfect multi-collinearity. You have to use all but one dummy variable. Could that be what happened here?
?
steve
?
Stephen P. Borgatti
Carol Martin Gatton Chair of Management
Gatton College of Business and Economics
University of Kentucky
?
toggle quoted message
Show quoted text
From: [email protected] < [email protected]> On Behalf Of
yx6wu via groups.io
Sent: Monday, February 6, 2023 15:20
To: [email protected]
Subject: [ucinet] UCINET Regression Problem #error #help
?
?
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 dummy?variables and some continuous variables. When I include all dummy variables, all Beta, T, and c.Sig disappear, whereas all p.Sig are 1. When I reduce one dummy variable, it becomes normal. Could anyone explain how this happens? Thanks.
|
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 dummy?variables and some continuous variables. When I include all dummy variables, all Beta, T, and c.Sig disappear, whereas all p.Sig are 1. When I reduce one dummy variable, it becomes normal. Could anyone explain how this happens? Thanks.
?
Best,
Simon?
|
Re: Foreign Alphabets
#help
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:
?
?
It produces this output:
?
IMPORT DATA VIA DL EDITOR
--------------------------------------------------------------------------------
?
?
?
??????????????? 1 2 3 4
????????????????B B S ?
????????????????? ? t d
????????????????r ? a e
????????????????d s r g
????????????????????l ?
????????????????????i r
????????????????????n d
????????????????????g??
????????????????- - - -
?????1???? B?rd 0 0 1 0
?????2???? B??s 1 0 0 0
?????3 Starling????????
?????4? ?deg?rd 1 1 0 0
?
4 rows, 4 columns, 1 levels.
?
Output UCINET file:????? ???????????????starling (C:\Users\Steve Borgatti\Dropbox\data\ucinet data\starling
?
?
--------------------------------------
Running time: 00:00:11 seconds.
Output generated: 02 Feb 23 10:54:42
?
And a further analysis looks like this:
?
->dsp degree(starling)
Normalized = no
See also: indegree and outdegree functions
?
?
?
???????????????
1 2 3
????????????????D O I
????????????????e u n
????????????????g t d
????????????????r d e
????????????????e e g
????????????????e g r
??????????????????r e
??????????????????e e
??????????????????e??
????????????????- - -
?????1???? B?rd 3 1 2
?????2???? B??s 2 1 1
?????3 Starling 1 0 1
?????4? ?deg?rd 2 2 0
?
4 rows, 3 columns, 1 levels.
?
?
So, if your version of ucinet is not from the last few years, then upgrade. If it is recent, tell me exactly what procedures you used to read in the data and/or analyze it. Perhaps older routines don’t understand
Unicode.
?
steve
?
Stephen P. Borgatti
Carol Martin Gatton Chair of Management
Gatton College of Business and Economics
University of Kentucky
?
toggle quoted message
Show quoted text
From: [email protected] < [email protected]> On Behalf Of
starlingdavidhunter via groups.io
Sent: Thursday, February 2, 2023 04:02
To: [email protected]
Subject: [ucinet] Foreign Alphabets #help
?
?
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 like?B??s or?B?rd or ?deg?rd get quite mangled in the output. I either have to Anglicize the names (not always appreciated), use digraphs, e.g. use "oe" for "o with stroke", or manually replace them in the output.
Are there any solutions for this, specifically a way? to get UCINET to recognize these characters?
thoughtfully
Starling
Also working with a few datasets in the Middle East but given the above, I'll assume for now that dealing Arabic script is a complete non-starter!
|
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 like?B??s or?B?rd or ?deg?rd get quite mangled in the output. I either have to Anglicize the names (not always appreciated), use digraphs, e.g. use "oe" for "o with stroke", or manually replace them in the output.
Are there any solutions for this, specifically a way? to get UCINET to recognize these characters?
thoughtfully
Starling
Also working with a few datasets in the Middle East but given the above, I'll assume for now that dealing Arabic script is a complete non-starter!
|
Re: Exporting Network Members at Different Tie Levels
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 both a C and E matrix and unpacking pulls out the C matrix output above. So, obviously I need to convert the Southern Women as my test but am not sure how to proceed. Thanks again.
|
Re: Imputing missing data with xUCINET
Thank you Prof. Borgatti! The solution suggested by you works!
Chuding, you can make your own replacena. Assume your matrix is called X. Then these lines
?
Xt <- t(X)
X[(X)] = Xt[(X)]
?
will replace your missing rows with their corresponding columns. Note that if you have multiple missing rows, such as 1 and 2, you will still have a missing value for the tie between node 1 and node 2, since
neither one responded.
?
Note there are more sophisticated methods of imputing network data:
?
Krause, R. W., Huisman, M., Steglich, C., & Snijders, T. A. (2018, August). Missing network data a comparison of different imputation methods.
In?2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)?(pp. 159-163). IEEE.
?
?nidar?i?, A., Ferligoj, A., & Doreian, P. (2012). Non-response in social networks: The impact of different non-response treatments on the stability
of blockmodels.?Social Networks,?34(4), 438-450.
?
Stephen P. Borgatti
Carol Martin Gatton Chair of Management
Gatton College of Business and Economics
University of Kentucky
?
?
?
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 missing data with xUCINET. According to Borgatti, Everett, and Johnson
(2018):
“In the case of symmetric or undirected relations, a simple cure is to fill in any missing rows with the data found in the corresponding column. The assumption is that, if
the respondent had been able to answer, they would have listed all the actors that mentioned them. This may not be exactly right, but it will be more accurate than treating the missing values as zeros. UCINET has a command called REPLACENA within Matrix Algebra
to do this.”
However, in the current version of xUCINET, the xImputeMissingData() function only imputes data with density. I am wondering whether we can manually write some codes in xUCINET to realize the function of REPLACENA in UCINET? If yes, could you please give me
an example? Many thanks!
|
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 "dyad-based. Any suggestion to fix this problem?? ?(Note: when I close the tab, I got the Reciprocity result). Thank you so much.?
Sincerely
Wah Wah Myint
|
Re: Imputing missing data with xUCINET
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 that if you have multiple missing rows, such as 1 and 2, you will still have a missing value for the tie between node 1 and node 2, since
neither one responded.
?
Note there are more sophisticated methods of imputing network data:
?
Krause, R. W., Huisman, M., Steglich, C., & Snijders, T. A. (2018, August). Missing network data a comparison of different imputation methods.
In?2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)?(pp. 159-163). IEEE.
?
?nidar?i?, A., Ferligoj, A., & Doreian, P. (2012). Non-response in social networks: The impact of different non-response treatments on the stability
of blockmodels.?Social Networks,?34(4), 438-450.
?
Stephen P. Borgatti
Carol Martin Gatton Chair of Management
Gatton College of Business and Economics
University of Kentucky
?
toggle quoted message
Show quoted text
From: [email protected] < [email protected]> On Behalf Of
CHUDING LING via groups.io
Sent: Wednesday, January 25, 2023 06:39
To: [email protected]
Subject: [ucinet] Imputing missing data with xUCINET
?
?
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 missing data with xUCINET. According to Borgatti, Everett, and Johnson
(2018):
“In the case of symmetric or undirected relations, a simple cure is to fill in any missing rows with the data found in the corresponding column. The assumption is that, if
the respondent had been able to answer, they would have listed all the actors that mentioned them. This may not be exactly right, but it will be more accurate than treating the missing values as zeros. UCINET has a command called REPLACENA within Matrix Algebra
to do this.”
However, in the current version of xUCINET, the xImputeMissingData() function only imputes data with density. I am wondering whether we can manually write some codes in xUCINET to realize the function of REPLACENA in UCINET? If yes, could you please give me
an example? Many thanks!
|
Re: netdraw arrowheads not removed
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 may need some brief
instruction on what to do to upgrade (it’s been quite a while since I’ve messed with UCINet, thanks to the pandemic and not doing Zoom conferences).
?
Kate McCain
?
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 that I can
make some changes in ucinet at the same time. If you don’t want to wait, copy this exe:
?
?
and overwrite your existing netdraw.exe file (if you can find it!).
?
steve
?
Stephen P. Borgatti
Carol Martin Gatton Chair of Management
Gatton College of Business and Economics
University of Kentucky
?
toggle quoted message
Show quoted text
From: [email protected] < [email protected]> On Behalf Of
McCain,Katherine via groups.io
Sent: Tuesday, January 24, 2023 16:14
To: [email protected]
Subject: [ucinet] netdraw arrowheads not removed
?
?
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 formats in Netdraw and work with the
results--rearranging the individual networks for visibility, etc. When I first open a file, the links have arrowheads at both ends. No problem -- I turn them off.
However, if I save the Netdraw data for that configuration as a vna file, when I reopen it later on, I have arrowheads on the links that will not turn off. It's frustrating.
Any thoughts?? It's a PITA to have to open a new network from the original data and redo all my work every time I want to tweak something (e.g. color/shape of nodes, vary tie size visualization, you name it).
Thanks in advance.
Katherine W. McCain, Professor Emerita
Department of Information Science
College of Computing & Informatics
Drexel University
|
Re: netdraw arrowheads not removed
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 that I can
make some changes in ucinet at the same time. If you don’t want to wait, copy this exe:
?
?
and overwrite your existing netdraw.exe file (if you can find it!).
?
steve
?
Stephen P. Borgatti
Carol Martin Gatton Chair of Management
Gatton College of Business and Economics
University of Kentucky
?
toggle quoted message
Show quoted text
From: [email protected] < [email protected]> On Behalf Of
McCain,Katherine via groups.io
Sent: Tuesday, January 24, 2023 16:14
To: [email protected]
Subject: [ucinet] netdraw arrowheads not removed
?
?
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 formats in Netdraw and work with the
results--rearranging the individual networks for visibility, etc. When I first open a file, the links have arrowheads at both ends. No problem -- I turn them off.
However, if I save the Netdraw data for that configuration as a vna file, when I reopen it later on, I have arrowheads on the links that will not turn off. It's frustrating.
Any thoughts?? It's a PITA to have to open a new network from the original data and redo all my work every time I want to tweak something (e.g. color/shape of nodes, vary tie size visualization, you name it).
Thanks in advance.
Katherine W. McCain, Professor Emerita
Department of Information Science
College of Computing & Informatics
Drexel University
|
Imputing missing data with xUCINET
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 missing data with xUCINET. According to Borgatti, Everett, and Johnson (2018):
“In the case of symmetric or undirected relations, a simple cure is to fill in any missing rows with the data found in the corresponding column. The assumption is that, if the respondent had been able to answer, they would have listed all the actors that mentioned them. This may not be exactly right, but it will be more accurate than treating the missing values as zeros. UCINET has a command called REPLACENA within Matrix Algebra to do this.”
However, in the current version of xUCINET, the xImputeMissingData() function only imputes data with density. I am wondering whether we can manually write some codes in xUCINET to realize the function of REPLACENA in UCINET? If yes, could you please give me an example? Many thanks!
|
netdraw arrowheads not removed
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 formats in Netdraw and work with the results--rearranging the individual networks for visibility, etc. When I first open a file, the links have arrowheads at both ends. No problem -- I turn them off.
However, if I save the Netdraw data for that configuration as a vna file, when I reopen it later on, I have arrowheads on the links that will not turn off. It's frustrating.
Any thoughts?? It's a PITA to have to open a new network from the original data and redo all my work every time I want to tweak something (e.g. color/shape of nodes, vary tie size visualization, you name it).
Thanks in advance.
Katherine W. McCain, Professor Emerita
Department of Information Science
College of Computing & Informatics
Drexel University
|
Re: Exporting Network Members at Different Tie Levels
Good that you included screenshot. You need to remove the period. So you just type
?
unpack zackar ???
?
and hit enter
?
steve
?
Stephen P. Borgatti
Carol Martin Gatton Chair of Management
Gatton College of Business and Economics
University of Kentucky
?
toggle quoted message
Show quoted text
From: [email protected] < [email protected]> On Behalf Of
Scott Thomas via groups.io
Sent: Saturday, January 21, 2023 12:13
To: [email protected]
Subject: Re: [ucinet] Exporting Network Members at Different Tie Levels
?
?
Looked like a good solution but am having problem executing. I get a an error (scratch file not found). Two pics to illustrate. Never tried CLI before.
 
|
