help to process data

Dears colleagues.?

I need the calculate the centrality measures in ucinet the data excel attached.
My computer doesn't have an excellent HD to do this. Who can help me?

Best regards,

--

Lidiane S. Carvalho

?

Re: Clique analysis - Errors of generating overlap matrices

#6371

Hi Steve,?

Perfect! Great thanks for your support. The latest version of UCINET 6.681 works well for the clique analysis.?

Best regards,

Ngoc

Re: Chinese label turned into unreadable symbols when editing metafile image in MS PowerPoint

#6370

开云体育

Yi-Hwa,

If I understand you correctly, NetDraw generates a valid Metafile of the network which you successfully import into PowerPoint which shows the appropriate characters.??It is only when you click on "Edit Picture" and say you want to "convert it to a Microsoft Office Drawing object" that you encounter the problem.

I have encountered similar problems with Unicode characters.? I believe the limitation is in the way the Microsoft Drawing Object is dealing with unicode characters.??

In just checked this idea by creating a Flow Chart in PowerPoint labeled with Unicode characters.? I saved it as an Enhanced Metafile in PowerPoint (right-clicking on the graphic and saying save "Save as picture".)?

I then inserted that Metafile as a picture on a new slide and said "Edit picture" and clicked yes to the "Convert to Microsoft Offfice Drawing object" as you described. Even in this metafile, created in and by PowerPoint, the Chinese characters switched to question marks when I did this.? So, this seems pretty clearly a Microsoft issue, specifically something to do with Microsoft Drawing Objects.

However, this also suggests that if you have other software available to you that can use to edit a metafile, without having to convert it to a Microsoft Drawing Object, you could edit the image there before importing it into PowerPoint.

I hope that? helps...

Rich DeJordy

California State University, Fresno

Show quoted text

From: ucinet@... on behalf of yihwa.liou@... [ucinet]
Sent: Thursday, May 16, 2019 9:03 PM
To: ucinet@...
Subject: [UCINET] Chinese label turned into unreadable symbols when editing metafile image in MS PowerPoint

?

Hi All,

I have a question regarding the Chinese label not being able to correctly display in PowerPoint when I edited the network image/picture in metafile format I saved from NetDraw.? I have been using UCINET and NetDraw for many years dealing with dataset in English and found no problems editing the picture in metafile format.? However, recently I've been working on datasets with actor labels in Traditional Chinese, and when I used the 'edit picture' function in PowerPoint, all the labels in Chinese characters turned into unreadable garbled codes (e.g., ??y?C (¤G?~??)), and I had to manually type them in.? Does anyone know how to address this issue??

Thanks,

Yi-Hwa

Re: Clique analysis - Errors of generating overlap matrices [1 Attachment]

#6369

开云体育

Ngoc, can you send me the data? Steve.borgatti@....

?

Thanks

?

steve

?

Show quoted text

From: ucinet@... <ucinet@...>
Sent: Wednesday, May 29, 2019 6:11 PM
To: ucinet@...
Subject: [UCINET] Clique analysis - Errors of generating overlap matrices [1 Attachment]

?

Hi Steve,

?

I am working on Cliques function under Network\Subgroups\Cliques for three datasets:?

- set 1: 456 nodes,?

- set 2: 322 nodes extracted from set 1

- set 3: 247 nodes extracted from set 1

?

For all datasets, I always choose "Yes" at "Analysing overlap" box.?

While I could receive all matrices and files of this "Cliques" function for set 1 and 2,? only "CliqueSet" and "CliqueSet Participation matrices could be generated for set 3.?

?

The following files/ matrices are missing for this set 3:?

Clique-by-clique overlap
Actor-by-actor clique comembership
Clique-by-partition
CliquePartition (in which first column is nodes and first row is cliques)

?

When I scrolled down?the log file (in .txt format) for "Cliques" results of Set 3, I saw strange characters in "Actor-by-actor Clique comembership" from row 78 and this matrix ends at row 93 while there are total 247 nodes in this dataset. Please find attached with the error log file for your ease of understanding

I have restarted many times and even installed the latest version UCINET 6.679 but the errors are still there.

Could you please help to look into this and advise me?

Many thanks,

Ngoc

Clique analysis - Errors of generating overlap matrices

#6368

Hi Steve,

I am working on Cliques function under Network\Subgroups\Cliques for three datasets:?

- set 1: 456 nodes,?

- set 2: 322 nodes extracted from set 1

- set 3: 247 nodes extracted from set 1

For all datasets, I always choose "Yes" at "Analysing overlap" box.?

While I could receive all matrices and files of this "Cliques" function for set 1 and 2,? only "CliqueSet" and "CliqueSet Participation matrices could be generated for set 3.?

The following files/ matrices are missing for this set 3:?

Clique-by-clique overlap
Actor-by-actor clique comembership
Clique-by-partition
CliquePartition (in which first column is nodes and first row is cliques)

When I scrolled down?the log file (in .txt format) for "Cliques" results of Set 3, I saw strange characters in "Actor-by-actor Clique comembership" from row 78 and this matrix ends at row 93 while there are total 247 nodes in this dataset. Please find attached with the error log file for your ease of understanding

I have restarted many times and even installed the latest version UCINET 6.679 but the errors are still there.

Could you please help to look into this and advise me?

Many thanks,

Ngoc

analyzing multiple networks simultaneously

#6372

Hello,

I am starting to learn to use ucinet and to do social network analysis. I usually collect social cognition data from children (e.g., like/dislike, aggression, etc.). I give rosters to children of all the classmates in their class and they circle classmates that match the description. I collect data from several classrooms and children only provide ratings of children in their classroom; therefore it seems like I need to do my analysis across several networks. My plan is to see if I can predict the pattern of ratings based on demographic variables (gender) and some personal ratings the children made.

My question is this: are there any tutorials or resources that you could point me to - to help me do this kind of analysis? Particularly I am looking for resources that explain how I handle the classrooms in the analysis.?

Thanks,

Matthew Stapleton

University of North Georgia

Re: Comparing density, reciprocity, and fragmentation across 2 networks

#6367

Thank you for your reply, Steve! Would the compare densities command be more appropriate for comparing 2 networks? If so, is there a similar command for comparing network reciprocity and fragmentation?

Best,
Elizabeth

---In ucinet@..., <sborgatti@...> wrote :

Elizabeth, that command still exists. Go to Tools|Testing Hypotheses|Node-level. But it is not the right tool for what you want. I suppose a bootstrap test for comparing network-level reciprocity and fragmentation could be constructed … I’d need to consult a statistician like Tom Snijders, though.

?

steve

?

Show quoted text

From: ucinet@... <ucinet@...>
Sent: Monday, May 20, 2019 9:50 AM
To: ucinet@...
Subject: [UCINET] Comparing density, reciprocity, and fragmentation across 2 networks

?

Hello fellow UCINET users,

?

I am looking for advice on how to compare two networks to see whether they differ significantly in density, reciprocity, and fragmentation--essentially a t-test but for network data.?I had seen Steve recommend the "compare densities" command in an earlier post and wondered if there were similar commands for comparing network reciprocity and fragmentation.?Additionally, a colleague had recommended using the command:?TOOLS > STATISTICS > VECTOR > T TEST (); however, this command no longer seems to be available in my version 6.658. Also, would these same commands work with 3 networks? Or would I need a different approach, more like an ANOVA?

?

Thank you in advance for your recommendations!

?

Best,

Elizabeth?

Re: Actor that do not anwer the survey

#6363

开云体育

There is no single answer to that. In my own work, I create two versions of the data, one with everybody, and one with only respondents. I use them both, but for different things. For example, suppose I have measured “who do you seek advice from?”. If I want to know how often people are sought after for advice, I use the big version of the data, because even if Dr. Big did not answer the survey, people did respond about him, so I want to know – among those that responded – how many people sought advice from Dr. Big and everyone else on the roster.

?

For symmetric relations such as “socialize with after work”, you could assume that if Dr. Big had answered the survey, he would have named exactly the people who named him. The missing values imputation procedure in UCINET would do that for you. It implements the methods of ?nidar?i? et al.

?

steve

?

Show quoted text

From: ucinet@... <ucinet@...>
Sent: Tuesday, May 21, 2019 3:42 PM
To: ucinet@...
Subject: [UCINET] Actor that do not anwer the survey

?

Hi there,?

?

I applied a survey at an ICU with 201 actors (doctors, nurse techs, allied heath).

?

In three months I got 133 answers out these 201.?

?

To start the analyse, I must take away the name that did not answer the survey ou they should stay?

?

I am follow the direction from this book - (Borgatti et al, 2013) - Analyzing social networks.?

?

But I got this doubt, if I should left or not those names that did not answered the survey.?

?

Thank you in advance!

?

Vanessa?

Re: Freeman's degree centrality measure

#6362

开云体育

Elisa, if you go back to my previous message, you can see that in the example network, the strongest tie from anyone to anyone was 7. So the program assumes that Evelyn could have had a connection of strength 7 with every other woman.

?

steve

?

Show quoted text

From: ucinet@... <ucinet@...>
Sent: Thursday, May 23, 2019 12:27 PM
To: ucinet@...
Subject: RE: [UCINET] Freeman's degree centrality measure

?

And how does UCINET calculate the strength at which Evelyn could have been connected to every other woman?

?

Thank you so much for your answer,

?

Elisa

?

Suppose the values in the data matrix (which is 18 by 18) range from 1 to 7 (not including ties to self). Evelyn’s row sum of 50. But the program judges that Evelyn could have be connected to every other woman at strength 7, so her normalized score is 50/(17*7) = .42

?

steve

?

DISPLAY

--------------------------------------------------------------------------------

?

Input dataset:????????????????????????? women (C:\Users\sborg2\Dropbox\data\ucinet data\women

?

????????????????? 1? 2? 3? 4? 5? 6? 7? 8? 9 10 11 12 13 14 15 16 17 18

?????????????????EV LA TH BR CH FR EL PE RU VE MY KA SY NO HE DO OL FL

?????????????????EL UR ER EN AR AN EA AR TH RN RN TH LV RA LE RO IV OR

?????????????????YN? A ES DA LO CE NO? L???? E? A ER IA???? N TH IA? A

????????????????????????A??? TT? S? R???????????? IN?????????? Y??????

??????????????????????????????E??????????????????? E??????????????????

?????????????????-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --

????1??? EVELYN?? 8? 6? 7? 6? 3? 4? 3? 3? 3? 2? 2? 2? 2? 2? 1? 2? 1? 1

????2???? LAURA?? 6? 7? 6? 6? 3? 4? 4? 2? 3? 2? 1? 1? 2? 2? 2? 1? 0? 0

????3?? THERESA?? 7? 6? 8? 6? 4? 4? 4? 3? 4? 3? 2? 2? 3? 3? 2? 2? 1? 1

????4??? BRENDA?? 6? 6? 6? 7? 4? 4? 4? 2? 3? 2? 1? 1? 2? 2? 2? 1? 0? 0

????5 CHARLOTTE?? 3? 3? 4? 4? 4? 2? 2? 0? 2? 1? 0? 0? 1? 1? 1? 0? 0? 0

????6?? FRANCES?? 4? 4? 4? 4? 2? 4? 3? 2? 2? 1? 1? 1? 1? 1? 1? 1? 0? 0

????7?? ELEANOR?? 3? 4? 4? 4? 2? 3? 4? 2? 3? 2? 1? 1? 2? 2? 2? 1? 0? 0

????8???? PEARL?? 3? 2? 3? 2? 0? 2? 2? 3? 2? 2? 2? 2? 2? 2? 1? 2? 1? 1

????9?? ???RUTH?? 3? 3? 4? 3? 2? 2? 3? 2? 4? 3? 2? 2? 3? 2? 2? 2? 1? 1

???10???? VERNE?? 2? 2? 3? 2? 1? 1? 2? 2? 3? 4? 3? 3? 4? 3? 3? 2? 1? 1

???11???? MYRNA?? 2? 1? 2? 1? 0? 1? 1? 2? 2? 3? 4? 4? 4? 3? 3? 2? 1? 1

???12 KATHERINE?? 2? 1? 2? 1? 0? 1? 1? 2? 2? 3? 4? 6? 6? 5? 3? 2? 1? 1

???13??? SYLVIA?? 2? 2? 3? 2? 1? 1? 2? 2? 3? 4? 4? 6? 7? 6? 4? 2? 1? 1

???14????? NORA?? 2? 2? 3? 2? 1? 1? 2? 2? 2? 3? 3? 5? 6? 8? 4? 1? 2? 2

???15???? HELEN?? 1? 2? 2? 2? 1? 1? 2? 1? 2? 3? 3? 3? 4? 4? 5? 1? 1? 1

???16?? DOROTHY ??2? 1? 2? 1? 0? 1? 1? 2? 2? 2? 2? 2? 2? 1? 1? 2? 1? 1

???17??? OLIVIA?? 1? 0? 1? 0? 0? 0? 0? 1? 1? 1? 1? 1? 1? 2? 1? 1? 2? 2

???18???? FLORA?? 1? 0? 1? 0? 0? 0? 0? 1? 1? 1? 1? 1? 1? 2? 1? 1? 2? 2

?

18 rows, 18 columns, 1 levels.

?

From: ucinet@... <ucinet@...>
Sent: Thursday, May 23, 2019 12:27 PM
To: ucinet@...
Subject: RE: [UCINET] Freeman's degree centrality measure

?

And how does UCINET calculate the strength at which Evelyn could have been connected to every other woman?

?

Thank you so much for your answer,

?

Elisa

?

Re: Freeman's degree centrality measure

#6361

And how does UCINET calculate the strength at which Evelyn could have been connected to every other woman?

Thank you so much for your answer,

Elisa

Re: Freeman's degree centrality measure

#6365

And how does UCINET calculate the strength at which Evelyn could have been connected to every other woman?

Thank you so much for your answer,

Elisa

En martes, 21 de mayo de 2019 21:08:09 CEST, 'Borgatti, Stephen' sborgatti@... [ucinet] escribió: