¿ªÔÆÌåÓý

ctrl + shift + ? for shortcuts
© 2025 Groups.io

Re: 3-mode network

 

Thanks.?

I¡¯m using 40 years of historic meeting minute records of watershed management in the Okanagan.? I would like to set-up a 3-mode network with the following three categories of nodes:
- meeting date
- organizations present
- attendees present

I¡¯ve set-up a 2-mode network with meeting dates and organizations and project to one mode easily enough.? I whould like to add the individuals attending each meeting, linked to the organizations so that I could project a 1-mode actor relationship too.

Thoughts??

On Fri, Sep 21, 2018 at 12:55 PM 'Steve Borgatti' steve.borgatti@... [ucinet] <ucinet@...> wrote:
?

Yes.

?

(It might be more useful to tell us what you are trying to do. Ucinet can handle 3-mode data, but that does not mean there is, say, a procedure called ¡®3-mode centrality¡¯. )

?

steve

?

From: ucinet@... <ucinet@...>
Sent: Friday, September 21, 2018 13:22
To: ucinet@...
Subject: [UCINET] 3-mode network

?

?

I¡¯m interested in developing a 3-node network (Meeting date, organization, attendee ¨C affiliated with organization).? Can UCINET handle a 3-mode network?

?

?


Re: 3-mode network

 

¿ªÔÆÌåÓý

Yes.

?

(It might be more useful to tell us what you are trying to do. Ucinet can handle 3-mode data, but that does not mean there is, say, a procedure called ¡®3-mode centrality¡¯. )

?

steve

?

From: ucinet@...
Sent: Friday, September 21, 2018 13:22
To: ucinet@...
Subject: [UCINET] 3-mode network

?

?

I¡¯m interested in developing a 3-node network (Meeting date, organization, attendee ¨C affiliated with organization).? Can UCINET handle a 3-mode network?

?

?


3-mode network

 

I¡¯m interested in developing a 3-node network (Meeting date, organization, attendee ¨C affiliated with organization).? Can UCINET handle a 3-mode network?




Average permutation frequency table - standard deviations

 

When using the Relational Contingency Table analysis (Tools->Testing Hypothesis -> Mixed Dyadic/Nodal -> Categorical Attributes -> Relational Contingency Table analysis) is it possible to get the standard deviations (or just the values from each iteration) associated with the Average permutation frequency table?


Thanks.


Blau¡¯s (1977) index of heterogeneity

 

Hello All

Please, how we can calculate the value of Blau¡¯s (1977) index of heterogeneity to measure a group¡¯s diversity of outgoing intergroup ties by using UCINET.?
I hope to get a detailed explanation with an example if possible. Thanks for this useful collection.

..............................................................................
Dr. Amer Ali?
Professor of Organizational Behavior
?


inquiry

 

Hello All

Please, how we can calculate the value of Blau¡¯s (1977) index of heterogeneity to measure a group¡¯s diversity of outgoing intergroup ties by using UCINET.?
I hope to get a detailed explanation with an example if possible. Thanks for this useful collection.

..............................................................................
Dr. Amer Ali?
Professor of Organizational Behavior


Re: Testing differences in average geodesic distances

 

¿ªÔÆÌåÓý

The density of a network is just the average value of the adjacency matrix that represents it. So you can run UCINET¡¯s compare densities command on any matrices, including geodesic distances, and it will compare their averages.

?

steve

?

From: ucinet@...
Sent: Thursday, August 2, 2018 14:22
To: ucinet@...
Subject: [UCINET] Testing differences in average geodesic distances

?

?

?

Hi everyone,

?

What is the best way to conduct a statistical test of the difference in average geodesic distance between a network at two points in time? UCINET has a command that allows a t-test for the difference in densities, but not for other network measures like distance or connectedness. I am assuming that the standard deviation reported along with the average geodesic distance cannot be used for these purposes. Does UCINET allow the use of the same bootstrapping technique used for testing hypotheses about differences in densities to test hypotheses about differences in other measures like average geodesic distance?

?

AV

?


Testing differences in average geodesic distances

Andres Villarreal
 

¿ªÔÆÌåÓý

?

Hi everyone,

?

What is the best way to conduct a statistical test of the difference in average geodesic distance between a network at two points in time? UCINET has a command that allows a t-test for the difference in densities, but not for other network measures like distance or connectedness. I am assuming that the standard deviation reported along with the average geodesic distance cannot be used for these purposes. Does UCINET allow the use of the same bootstrapping technique used for testing hypotheses about differences in densities to test hypotheses about differences in other measures like average geodesic distance?

?

AV

?


Combining a one- and two-mode dataset in Netdraw

Julia Baird
 

¿ªÔÆÌåÓý

Hello Everyone,

?

I am working with a student who has collected data regarding:

  1. Qualities of collaboration identified from the literature
  2. Outcomes of collaboration ¡° ¡° ¡°
  3. Interactions among qualities of collaboration that are associated with specific outcomes (e.g., qualities a and b are both mentioned in relation to outcome x, and qualities a and c are both mentioned in relation to outcome y).

?

I am wondering if it is possible to create a network map with all of these data? What we want to do is combine the qualities X outcomes data (two mode network) with the qualities interactions data (one mode network). I have searched for examples of this elsewhere and so far cannot find anything similar, and Dr. Google has not yielded advice. If it¡¯s not possible that¡¯s OK!

?

Thanks very much.

Julia


NETDraw INdegree Centrality

 

Hi Folks?


I'm currently doing a dissertation investigating shared leadership in sports teams through social network analysis. I'm trying to use UCINet Netdraw to construct networks highlighting the leadership present within the teams.


Basically my main query concerns the positioning of nodes within my network. I want to ensure that the nodes that are located most central in the network are those nodes with the highest indegree centrality. I cannot seem to figure out how to do this. I have managed to make the node size be determined by the indegree centrality but I have been unable to layout the network so those same nodes are in the middle are the nodes with a lower indegree centrality score are on the periphery of the network. If you would be able to help me with this query it would be greatly appreciated.


Kindest regards,

G



Re: Netdraw VNA file misreading attributes

 

¿ªÔÆÌåÓý

Yes, it was a bug. Good job tracking down exactly what it was! The bug is fixed in version 2.164, which you can get by downloading latest ucinet (but not by going to netdraw site).

?

steve

?

From: ucinet@...
Sent: Saturday, July 7, 2018 18:29
To: ucinet@...
Subject: [UCINET] Netdraw VNA file misreading attributes

?

?

HI,

?

I downloaded a new version of UCINET, which I assume replaced the version of NetDraw I was using. After downloading and rebooting, I have a problem with VNA files that were loaded perfectly before the installation of the new UCINET.

?

See the attached VNA files. The "Not OK" one differs only in that it has an attribute name (in quotes) that starts with the letters "ID"... (don't has how many hours it took to figure this out!)

?

OK:

?

*node data

"Name","Code","Name and City","City","Region","Country","Resp 2018","Listed 2018","Network Data","City Size","Tenure from Survey"

?

"Person's name","1","name, town","City","Asia","","Yes","No","36","1.1 million - 5 million population","Less than a year"

?

NOT OK:

?

*node data

"Name","Code","Name and City","City","Region","Country","Resp 2018","Listed 2018","Network Data","City Size","Tenure from Survey","Ideas"

?

"Person's name","1","name, town","City","Asia","","Yes","No","36","1.1 million - 5 million population","Less than a year","Ideas"

?


Once I changed the attribute label the Netdraw read it properly again.

?

/patti

?


Netdraw VNA file misreading attributes

 

HI,


I downloaded a new version of UCINET, which I assume replaced the version of NetDraw I was using. After downloading and rebooting, I have a problem with VNA files that were loaded perfectly before the installation of the new UCINET.


See the attached VNA files. The "Not OK" one differs only in that it has an attribute name (in quotes) that starts with the letters "ID"... (don't has how many hours it took to figure this out!)


OK:


*node data

"Name","Code","Name and City","City","Region","Country","Resp 2018","Listed 2018","Network Data","City Size","Tenure from Survey"


"Person's name","1","name, town","City","Asia","","Yes","No","36","1.1 million - 5 million population","Less than a year"


NOT OK:


*node data

"Name","Code","Name and City","City","Region","Country","Resp 2018","Listed 2018","Network Data","City Size","Tenure from Survey","Ideas"


"Person's name","1","name, town","City","Asia","","Yes","No","36","1.1 million - 5 million population","Less than a year","Ideas"



Once I changed the attribute label the Netdraw read it properly again.


/patti



Re: How many relations can Ucinet process?

 

¿ªÔÆÌåÓý

Oriana, you have a 2-mode matrix of 3500 rows (farmers) and 80 columns (technologies). You are considering converting to a 1-mode matrix of 3500 by 3500 farmers, where x(k,j) indicates the extent to which farmersws k and? j use the same technologies. There is nothing wrong with this, it makes perfect sense.

?

You also wondered whether your 1-mode matrix of 3500 x 3500 farmers would be too big for ucinet. I tested this question by constructing a matrix of 3500 x 3500 and running several analyses. They all ran fine, so my conclusion was that you can do the analysis that you want in ucinet.

?

Now, I did express some concern about visualizing the dataset. If it is very dense, it could be a lot of netdraw to handle. However, few minutes ago I just drew a network of more than 4000 nodes with high density, and it worked fine. So that may not be a problem either.

?

steve

?

From: ucinet@... <ucinet@...>
Sent: Thursday, June 21, 2018 08:43
To: ucinet@...
Subject: Re: RE: [UCINET] How many relations can Ucinet process?

?

?

Steve, thanks very much for your answer

?

Maybe it is easier if I divide the database by states.?

?

But I would like to know your opinion about that I mentioned before, of converting this 2-mode matrix, in a 1-mode matrix, and evaluated how the farmers are related through the use of technology.

I must admit that 2-mode matrix is confusing to me.

Oriana

Universidad de C¨®rdoba

Spain

En mi¨¦rcoles, 20 de junio de 2018 23:36:48 CEST, 'Steve Borgatti' steve.borgatti@... [ucinet] <ucinet@...> escribi¨®:

?

?

?

It¡¯s hard to answer that question. I just created a valued 3500x3500 matrix with random values. Then I created an attribute dataset with 3500 rows and 1 column. ?Then I ran Network|Cohesion|ego-alter similarity (homophily), and it ran fine (1 second). Then I ran beta centrality and it ran in 19 seconds. But I didn¡¯t dare open the network in netdraw (since it¡¯s a valued network, it has more than 12 million ties).

?

steve

?

From: ucinet@... <ucinet@...>
Sent: Wednesday, June 20, 2018 9:27
To: ucinet@...
Subject: [UCINET] How many relations can Ucinet process?

?

?

Hi everyone,

I am carry out a research in the field of innovation in the livestock system in Mexico. I would like to evaluate the relationship between farmers, depending of what kind of technology they use.

?

The matrix is:

In the rows: there are 1.600 farmers

In the columns: 80 different technologies that the farmers use.

?

In this case, (1) represent use of technology while, (0) represent not use of technology.

?

I am thinking of converting this 2-mode matrix, in a 1-mode matrix, and them evaluated how the farmers are related through the use of technology.. I would like to evaluate the homophily as well.

Is possible that this database increase in about 3.500 farmers, and I don¡¯t know if I can use UCINET, can this software process a database like this? I would to know how many relations can Ucinet process? or Have I to use Pajek?

?

thanks in advance,

Oriana,

Universidad de C¨®rdoba, Spain.

?


Re: How many relations can Ucinet process?

 

Steve, thanks very much for your answer

Maybe it is easier if I divide the database by states.?

But I would like to know your opinion about that I mentioned before, of converting this 2-mode matrix, in a 1-mode matrix, and evaluated how the farmers are related through the use of technology.

I must admit that 2-mode matrix is confusing to me.

Oriana
Universidad de C¨®rdoba
Spain
En mi¨¦rcoles, 20 de junio de 2018 23:36:48 CEST, 'Steve Borgatti' steve.borgatti@... [ucinet] escribi¨®:


?

It¡¯s hard to answer that question. I just created a valued 3500x3500 matrix with random values. Then I created an attribute dataset with 3500 rows and 1 column. ?Then I ran Network|Cohesion|ego-alter similarity (homophily), and it ran fine (1 second). Then I ran beta centrality and it ran in 19 seconds. But I didn¡¯t dare open the network in netdraw (since it¡¯s a valued network, it has more than 12 million ties).

?

steve

?

From: ucinet@...
Sent: Wednesday, June 20, 2018 9:27
To: ucinet@...
Subject: [UCINET] How many relations can Ucinet process?

?

?

Hi everyone,

I am carry out a research in the field of innovation in the livestock system in Mexico. I would like to evaluate the relationship between farmers, depending of what kind of technology they use.

?

The matrix is:

In the rows: there are 1.600 farmers

In the columns: 80 different technologies that the farmers use.

?

In this case, (1) represent use of technology while, (0) represent not use of technology.

?

I am thinking of converting this 2-mode matrix, in a 1-mode matrix, and them evaluated how the farmers are related through the use of technology.. I would like to evaluate the homophily as well.

Is possible that this database increase in about 3.500 farmers, and I don¡¯t know if I can use UCINET, can this software process a database like this? I would to know how many relations can Ucinet process? or Have I to use Pajek?

?

thanks in advance,

Oriana,

Universidad de C¨®rdoba, Spain.

?


Re: How many relations can Ucinet process?

 

¿ªÔÆÌåÓý

It¡¯s hard to answer that question. I just created a valued 3500x3500 matrix with random values. Then I created an attribute dataset with 3500 rows and 1 column. ?Then I ran Network|Cohesion|ego-alter similarity (homophily), and it ran fine (1 second). Then I ran beta centrality and it ran in 19 seconds. But I didn¡¯t dare open the network in netdraw (since it¡¯s a valued network, it has more than 12 million ties).

?

steve

?

From: ucinet@...
Sent: Wednesday, June 20, 2018 9:27
To: ucinet@...
Subject: [UCINET] How many relations can Ucinet process?

?

?

Hi everyone,

I am carry out a research in the field of innovation in the livestock system in Mexico. I would like to evaluate the relationship between farmers, depending of what kind of technology they use.

?

The matrix is:

In the rows: there are 1.600 farmers

In the columns: 80 different technologies that the farmers use.

?

In this case, (1) represent use of technology while, (0) represent not use of technology.

?

I am thinking of converting this 2-mode matrix, in a 1-mode matrix, and them evaluated how the farmers are related through the use of technology. I would like to evaluate the homophily as well.

Is possible that this database increase in about 3.500 farmers, and I don¡¯t know if I can use UCINET, can this software process a database like this? I would to know how many relations can Ucinet process? or Have I to use Pajek?

?

thanks in advance,

Oriana,

Universidad de C¨®rdoba, Spain.

?


How many relations can Ucinet process?

 

Hi everyone,

I am carry out a research in the field of innovation in the livestock system in Mexico. I would like to evaluate the relationship between farmers, depending of what kind of technology they use.


The matrix is:

In the rows: there are 1.600 farmers

In the columns: 80 different technologies that the farmers use.


In this case, (1) represent use of technology while, (0) represent not use of technology.


I am thinking of converting this 2-mode matrix, in a 1-mode matrix, and them evaluated how the farmers are related through the use of technology. I would like to evaluate the homophily as well.

Is possible that this database increase in about 3.500 farmers, and I don¡¯t know if I can use UCINET, can this software process a database like this? I would to know how many relations can Ucinet process? or Have I to use Pajek?


thanks in advance,

Oriana,

Universidad de C¨®rdoba, Spain.



I would like to know how much relations can Ucinet process?

 

Hi everyone,

I am carry out a research in the field of innovation in the livestock system in Mexico. I would like to evaluate the relationship between farmers, depending of what kind of technology they use.


The matrix is:

In the rows: there are 1.600 farmers

In the columns: 80 different technologies that the farmers use.


In this case, (1) represent use of technology while, (0) represent not use of technology.


I am thinking of converting this 2-mode matrix, in a 1-mode matrix, and them evaluated how the farmers are related through the use of technology. I would like to evaluate the homophily as well.

Is possible that this database increase in about 3.500 farmers, and I don¡¯t know if I can use UCINET, can this software process a database like this? I would like to know how much relations can Ucinet process? or Have I to use Pajek?

thanks in advance,

Oriana,

Universidad de C¨®rdoba

spain


Re: Interpretation coefficients MR-QAP vs LR-QAP [2 Attachments]

 

Hello
I wanted to learn how to get this image with UCINET Please give me some guidance.
In the article titled "A co-word analysis of library and information science
in China" I've read.



--
Yours sincerely

Esmaeil Bikdeloo

Master student? of Scientometrics

Humanities & Social sciences faculty

Yazd University


Re: Interpretation coefficients MR-QAP vs LR-QAP [2 Attachments]

 

Dear Joshua,

Obviously, the differences are between logit and multiple regression coefficients. If your question is about that difference please look it up on Google or Bing. Assuming you know that difference, there is little we can say about the parameters in your MR-model, let alone compare them with those in the LR-model. Unfortunately, the scale you produced for the dependent variable in the MR-model is nominal and maybe inconsistent. Its says something about perceived joint occurrence of events (sharing information in a specific situations), nothing about the frequency or amount of knowledge sharing. However, it isn't obvious that sharing information in any combination of two or three situations warrants the same codification (2 and 3, respectively). Why would sharing information during lectures and lunch, be the same as sharing information during lunch and outside campus? More generally, your questions differ in focus, some are more time-dependent (e.g. lunch), others are more dependent on place (e.g., off-campus). Adding them may not be such a good idea. The fact that you found significant results is a secondary result that only becomes of interest when you can interpret the parameters.

Yet it seems you have some nice data. You collected data on 4 networks, where the relationship is about context of information sharing. Perhaps there is some theoretical argument or interest to assess whether three of these? networks affect a fourth?

In choosing your model (MR vs. LR) I would not disregard the possibility of using MRQAP on a binary dependent variable. The linear probability model (that is what a MR-model is called when it has a binary dependent) certainly has its limits, but may be valid, for example, when heteroskedasticity consistent estimators are used. In fact, there are conceivable conditions where it may be a better solution than LRQAP, or even ERGM's.

Best regards,
David

On Thu, Jun 14, 2018 at 3:20 PM Joshua Dohmen joshua.dohmen@... [ucinet] <ucinet@...> wrote:
?

Dear all,

recently I collected a network dataset of 112 students and asked them, with whom they share knowledge in 4 different occasions (e.g. having lunch, outside the campus, in a lecture ...). So "knowledge sharing" would be my dependent variable. If a student has chosen a person on all four occasions, he will receive the value 4, so my matix has values between 0 and 4. My independet variables are -- let?s say -- "same gender" and "same study group".

Is it better to dichotomize the dependent variable ("knowledge sharing") to run a LR-QAP or should I leave the original 0-4-valued coding and run a MR-QAP? The significances are similar, the coefficients (odd ration etc.) of course not.

It would be great if someone could explain the differences in the interpretation of the coefficients (2.295 vs.. 0.44).?

Many thanks!
Joshua

LR-QAP (dichotomized the dependent var)

MR-QAP (valued dependent var)



Interpretation coefficients MR-QAP vs LR-QAP

 

Dear all,

recently I collected a network dataset of 112 students and asked them, with whom they share knowledge in 4 different occasions (e.g. having lunch, outside the campus, in a lecture ...). So "knowledge sharing" would be my dependent variable. If a student has chosen a person on all four occasions, he will receive the value 4, so my matix has values between 0 and 4. My independet variables are -- let?s say -- "same gender" and "same study group".

Is it better to dichotomize the dependent variable ("knowledge sharing") to run a LR-QAP or should I leave the original 0-4-valued coding and run a MR-QAP? The significances are similar, the coefficients (odd ration etc.) of course not.

It would be great if someone could explain the differences in the interpretation of the coefficients (2.295 vs. 0.44).?

Many thanks!
Joshua

LR-QAP (dichotomized the dependent var)

MR-QAP (valued dependent var)