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Re: Convert attribute to matrix
开云体育That’s a very broad question. Here are a couple a couple of illustrative responses. ? Suppose you have a categorical attribute such as gender, coded 1=female, 0=male. ? In Attribute to matrix, if you choose exact matches, you will create a matrix X such that Xij = 1 if the I and J are the same gender, and Xij = 0 if I and J are different genders. Now suppose you correlate this with a matrix F in which Fij = 1 if I is friends with J, and zero otherwise. If the correlation is positive, that means that big numbers Xij (“big” meaning 1) tend to occur when Fij is big (i.e., 1) and when Xij is small (0), Fij tends to be small (0). In other words, a positive correlation would indicate that friendships tend to be between people of the same gender. ? If you choose sender effects, you create a matrix such that Xij = gender of I. If you then correlated this with friendship, a positive correlation would indicate that when Xij is large (1), friendship tends to be large (1) and when Xij is small (0), friendship tends to be small (0). That means a friendship tie from I to J is more likely when I is female. In short, women have more outgoing ties than men. ? Suppose you have a continuous attribute such as age. And a network such as seeks advice from, as in Aij = 1 if I seeks advice from J and Aij = 0 if I does not seek advice from J. ? If you choose difference, you create a matrix X in which Xij = Age(i) – Age(j). So if you correlate with Advice, a positive correlation would occur if, when Xij is large (I older than J), advice tends to be large (1), and when Xij is negative (J older than I), advice tends to be small (0). A positive correlation would mean that older people tend to ask advice of younger people (e.g., which mobile phone should I buy?) ? steve ? From: ucinet@...
Sent: Thursday, November 29, 2018 18:28 To: ucinet@... Subject: [UCINET] Convert attribute to matrix ? ? When converting attribute to matrix data, can anyone explain/point me to resource about when you would use each similarity metric and why? Thanks in advance, ? AE Nash |
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Comparing the extent of homophily across networks
What is the best way to test the extent of homophily across two different networks? I can use the ANOVA density models in UCINET to test whether ties are more common among individuals with a specific attribute. But what if I want to compare the extent to which ties are more common among individuals with a specific attribute in two different networks (i.e., in which network is there more homophily?). The networks have the exact same number of nodes, but not the same ties.?Does it make sense to compare the R-squared for the models for the two networks? Or should I compare the regression coefficients from a “constant homophily” model for each network, for example? Would comparing either the R-squared or the regression coefficient tell me in which network there is more homophily? Thank you in advance for any advice. |
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Re: How to calculate Reagan & McEvily’ (2003) social cohesion in UCINET?
Thanks, Prof. Borgatti! I have responded your suggestions and raised some further questions in the e-mail below.
Thanks for your explanation. My analysis unit is at ego level. As such, it seems that I am not strictly following the prior studies to explore the effects of "social cohesion". ?
In my data, the correlation between density and indirects was negative, regardless of the tie is continuous or dichotomous. Please find more details in the screenshot as follows (the suffix "C" and "D" refer to "continuous tie" and "dichotomous tie", respectively). Is there anything going wrong? ?
Thanks for your suggestion. I am also considering density as the measure of social cohesion in my study.? For the time being, I just want to explore whether some relationships revealed by prior studies could be replicated with my data. ?
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Re: How to calculate Reagan & McEvily’ (2003) social cohesion in UCINET?
开云体育Chuding, a couple of things. ? 1. In both articles, the unit of analysis is the dyad. So that measure of cohesion has a value for each pair of nodes. Is that what you want? The structural holes routine aggregates that cohesion to the node level (and yes, it is called indirects). So it depends on what the unit of analysis is in your study. ? 2. The correlation between indirects and constraint is hard to predict, as constraint is a function of not just ego network density but also network size and the degree distribution within the ego network. In general, though, indirects will be positively correlated with density and you would not want to subtract from 1. ? 3. For what it’s worth, I think the indirects (whether dyadic or monadic) is good for measuring constraint, but not ideal for cohesion. This is because it is a mixture of density and alter degree centralization (heterogeneous degree distribution). Centralization of alter degree almost always makes sense for constraint but only occasionally for cohesion. Why not use something directly interpretable, such as density? ? steve ? From: ucinet@...
Sent: Friday, November 23, 2018 23:34 To: ucinet@... Subject: [UCINET] How to calculate Reagan & McEvily’ (2003) social cohesion in UCINET? ? ? Dear Prof. Borgatti and colleagues, ? I am new to UCINET. Now I am trying to obtain the value of “social cohesion”, which is first introduced in Reagan & McEvily (2003). And later Tortoriello, Reagans, & McEvily (2012) give a more detailed explanation as follows: ? ? The way I tried to get this is using the routine in UCINET as follows: Ego Networks → Structural Holes. In the results, in addition to the traditional measures of structural holes mentioned in Borgatti et al. (2013/2018) like effect size, efficiency, constraint, and hierarchy, I also obtained a variable named as “indirects”. I am wondering whether this is the so called “indirect structural constraints” defined by Burt (1992). ? But after checking the correlations between these five SH variables, I found “indirects” was positively correlated to effect size while negatively correlated to constraint (raw value without transformation by 1 - constraint). So I guess if the “indirects” is the right variables I can utilize to obtain the measure of “social cohesion”, I need to do the transformation like “cohesion = 1 - indirects”. Am I right? Many thanks in advance! ? Best, Chuding |
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How to calculate Reagan & McEvily’ (2003) social cohesion in UCINET?
Dear Prof. Borgatti and colleagues, ? I am new to UCINET. Now I am trying to obtain the value of “social cohesion”, which is first introduced in Reagan & McEvily (2003). And later Tortoriello, Reagans, & McEvily (2012) give a more detailed explanation as follows: ? ? The way I tried to get this is using the routine in UCINET as follows: Ego Networks → Structural Holes. In the results, in addition to the traditional measures of structural holes mentioned in Borgatti et al. (2013/2018) like effect size, efficiency, constraint, and hierarchy, I also obtained a variable named as “indirects”. I am wondering whether this is the so called “indirect structural constraints” defined by Burt (1992). ? But after checking the correlations between these five SH variables, I found “indirects” was positively correlated to effect size while negatively correlated to constraint (raw value without transformation by 1 - constraint). So I guess if the “indirects” is the right variables I can utilize to obtain the measure of “social cohesion”, I need to do the transformation like “cohesion = 1 - indirects”. Am I right? Many thanks in advance! ? Best, Chuding |
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Re: Question on the statistical analysis of SNA data
Hi Steve,
Looking at this example you provided to Paul, I am curious about a small adjustment. Your solution answers the question "do like people invest with each-other more than with the other group." But you could have a situation where As invest with As, but Bs do not necessarily invest with Bs (or vice versa). So if you wanted to test that you could make "is A" and "is B" affiliation matrices and presumably run a QAP regression, where the "is A" and "is B" matrices are explanatory variables. My question is, would you need to make any kind of adjustment when interpreting the significance of the results? It seems like this is rather analogous to an ANOVA with post hoc two-way tests in which you would do something like a bonferroni adjustment. Is it correct to assume that no such adjustment is needed with the QAP regression as this is taken into account by the regression itself? Best wishes Jesse On Wed, Nov 21, 2018 at 3:29 PM 'Steve Borgatti' steve.borgatti@... [ucinet] <ucinet@...> wrote:
-- *Jesse Sayles, PhD* *saylesunchartedwaters.com <>* *ORISE Postdoctoral Fellow* *Appointed with the U.S. Environmental Protection Agency, Office of Research and DevelopmentNational Health and Environmental Effects Research Laboratory, Atlantic Ecology Division* |
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Re: Question on the statistical analysis of SNA data
There are a number of ways to do it. A good one is qap correlation. You have a valued network:
A B B B A B B B B B B A 10 0 0 1 5 3 7 3 0 1 B 10 0 0 9 0 11 8 10 0 0 B 0 0 0 0 0 0 0 0 0 0 B 0 0 0 0 0 1 1 0 0 0 A 1 9 0 0 0 6 4 5 1 1 B 5 0 0 0 0 3 4 1 0 0 B 3 11 0 1 6 3 9 14 0 0 B 7 8 0 1 4 4 9 8 0 0 B 3 10 0 0 5 1 14 8 0 1 B 0 0 0 0 1 0 0 0 0 0 B 1 0 0 0 1 0 0 0 1 0 And a categorical attribute: Type A 1 B 2 B 2 B 2 A 1 B 2 B 2 B 2 B 2 B 2 B 2 (only 2 As, which is not much to work with). You can convert this to a “is the same type as” matrix using Data|Affiliations): A B B B A B B B B B B A 1 0 0 0 1 0 0 0 0 0 0 B 0 1 1 1 0 1 1 1 1 1 1 B 0 1 1 1 0 1 1 1 1 1 1 B 0 1 1 1 0 1 1 1 1 1 1 A 1 0 0 0 1 0 0 0 0 0 0 B 0 1 1 1 0 1 1 1 1 1 1 B 0 1 1 1 0 1 1 1 1 1 1 B 0 1 1 1 0 1 1 1 1 1 1 B 0 1 1 1 0 1 1 1 1 1 1 B 0 1 1 1 0 1 1 1 1 1 1 B 0 1 1 1 0 1 1 1 1 1 1 And then run Qap correlation: This yields something like this: QAP results for paulnet * paulatt-sameType (5000 permutations) 1 2 3 4 5 6 7 8 9 Obs Value Significa Average Std Dev Minimum Maximum Prop >= O Prop <= O N Obs --------- --------- --------- --------- --------- --------- --------- --------- --------- Pearson Correlation -0.1443 0.2935 -0.0003 0.2176 -0.3377 0.4357 0.7259 0.2935 5000.0000 The results are non-significant. Steve. From: ucinet@... <ucinet@...> Sent: Sunday, November 18, 2018 17:45 To: ucinet@... Cc: Dr. Paul Beckman <pbeckman@...> Subject: [UCINET] Question on the statistical analysis of SNA data Hi all – I have a question about statistically analyzing SNA results. The situation is this: there is a group of 11 investors who each fall into one two types, “A” or “B” and who can invest jointly with any other investor (the "invests_with" event is non-directional). I’d like to know if either group tends to invest more with their own type or with the other type, that is: "A:A" joint investments vs. "A:B" joint investments vs. "B:B" joint investments. I’m OK at applying SNA but I’m not a statistician, and this situation is more complicated because there are different numbers in each group type (there are 2 “A” investors and 9 “B” investors). Also, each individual investor has jointly invested a different number of times; the table below shows how many times each investor has invested with each other investor. Given this brief background, is it possible to determine if the “A” and “B” investors tend to invest more their own group or with the other group? If it’s possible, how do I do it? Thanks for any help you can give! A B B B A B B B B B B A - 10 0 0 1 5 3 7 3 0 1 B - 0 0 9 0 11 8 10 0 0 B - 0 0 0 0 0 0 0 0 B - 0 0 1 1 0 0 0 A - 0 6 4 5 1 1 B - 3 4 1 0 0 B - 9 14 0 0 B - 8 0 0 B - 0 1 B - 0 B - |
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Re: Question on the statistical analysis of SNA data
Dear Paul, I would strongly suggest you to invest a few hours on Stephen Borgatti, Martin Everett, Jeffrey Johnson, "Analyzing Social Networks" 2013, which is a gentle introduction to SNA with Ucinet examples. It certainly cover the topics you are?interested in: related research design, data preparation and analysis. I think no statistical background is required in order to fully understand most of the chapters.? Following standard approaches - including these authors' one - I would suggest to represent investors by name (or anonymous ID)? in the adjacency matrix and to distinguish A and B as attributes for these investors in a separate attribute vector. Everything is gently covered by the book. Hope this helps. Good work ! Teresio
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Question on the statistical analysis of SNA data
开云体育Hi all – I have a question about statistically analyzing SNA results.? The situation is this: there is a group of 11 investors who each fall into one two types, “A” or “B” and who can invest jointly with any other investor (the "invests_with" event is non-directional).? I’d like to know if either group tends to invest more with their own type or with the other type, that is: "A:A" joint investments vs. "A:B" joint investments vs. "B:B" joint investments. I’m OK at applying SNA but I’m not a statistician, and this situation is more complicated because there are different numbers in each group type (there are 2 “A” investors and 9 “B” investors).? Also, each individual investor has jointly invested a different number of times; the table below shows how many times each investor has invested with each other investor.? Given this brief background, is it possible to determine if the “A” and “B” investors tend to invest more their own group or with the other group?? If it’s possible, how do I do it? Thanks for any help you can give!
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Re: Two networks compare
Dear Professor Borgatti: I have solved the problem. It's version issue. Thanks a lot! 任慶宗 感恩合十 ======================================= Ching Tsung Jen, Ph. D. Adjunct?Associate Professor,? Department of Logistics Management,? National Defense University M Phone: 0922435318 e-mail: malanyjen@... ======================================= 心不随境，是禪定的工夫
在 2018年11月18日 星期日 上午6:56:02 [GMT+8]， 'Borgatti, Stephen' sborgatti@... [ucinet] 寫道：
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Yes. But you'll need version 6.666. To compare two densities, go to the CLI and use the densitydiff command. Syntax:
= densitydiff( [undir|out|in])
Example:?
->dsp densitydiff(padgm padgb undir)
To compare two degree centralization indices, use the centdiff command. Syntax:
= centdiff( [undir|out|in])
Example:?
->dsp? centdiff(padgm padgb undirected)
Note, these are undocumented commands.
?
Stephen P Borgatti
Paul Chellgren Endowed Chair of Management LINKS Center for Organizational Network Analysis Gatton School of Business and Economics University of Kentucky Lexington, KY 40506 USA Office Tel: +1 859-257-2257; Cell: +1 978 394 2787 Email:? sborgatti@..., steve.borgatti@... From: ucinet@... on behalf of malanyjen@... [ucinet]
Sent: Friday, November 9, 2018 7:12 AM To: ucinet@... Subject: [UCINET] Two networks compare ?
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Hi everyone: |
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Re: Two networks compare
Professor?Borgatti: Thanks a lot! I still have some problem to compare the two network densities. The command for density and centralization you gave me have two different? ending word "undir" and "undirected". I have problem to run density with the "undir" or "undirected" but no problem for centralization. Would you please help me again? BY the way, could you provide me with some references(papers) which I need to describe in the methodology of my paper. Sorry for bothering you so much!? 任慶宗 感恩合十 ======================================= Ching Tsung Jen, Ph. D. Adjunct?Associate Professor,? Department of Logistics Management,? National Defense University M Phone: 0922435318 e-mail: malanyjen@... ======================================= 心不随境，是禪定的工夫
在 2018年11月18日 星期日 上午6:56:02 [GMT+8]， 'Borgatti, Stephen' sborgatti@... [ucinet] 寫道：
?
Yes. But you'll need version 6.666. To compare two densities, go to the CLI and use the densitydiff command. Syntax:
= densitydiff( [undir|out|in])
Example:?
->dsp densitydiff(padgm padgb undir)
To compare two degree centralization indices, use the centdiff command. Syntax:
= centdiff( [undir|out|in])
Example:?
->dsp? centdiff(padgm padgb undirected)
Note, these are undocumented commands.
?
Stephen P Borgatti
Paul Chellgren Endowed Chair of Management LINKS Center for Organizational Network Analysis Gatton School of Business and Economics University of Kentucky Lexington, KY 40506 USA Office Tel: +1 859-257-2257; Cell: +1 978 394 2787 Email:? sborgatti@..., steve.borgatti@... From: ucinet@... on behalf of malanyjen@... [ucinet]
Sent: Friday, November 9, 2018 7:12 AM To: ucinet@... Subject: [UCINET] Two networks compare ?
?
Hi everyone: |
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Re: Two networks compare
开云体育Yes. But you'll need version 6.666. To compare two densities, go to the CLI and use the densitydiff command. Syntax:
= densitydiff( [undir|out|in])
Example:?
->dsp densitydiff(padgm padgb undir)
To compare two degree centralization indices, use the centdiff command. Syntax:
= centdiff( [undir|out|in])
Example:?
->dsp? centdiff(padgm padgb undirected)
Note, these are undocumented commands.
?
Stephen P Borgatti
Paul Chellgren Endowed Chair of Management LINKS Center for Organizational Network Analysis Gatton School of Business and Economics University of Kentucky Lexington, KY 40506 USA Office Tel: +1 859-257-2257; Cell: +1 978 394 2787 Email:? sborgatti@..., steve.borgatti@... From: ucinet@... on behalf of malanyjen@... [ucinet]
Sent: Friday, November 9, 2018 7:12 AM To: ucinet@... Subject: [UCINET] Two networks compare ?
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Hi everyone: |
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Compare densities>Against theoretical parameter: is there a minimum matrix size?
Hi all, In Hanneman and Riddle's e-book, the authors use the Knoke information matrix as an example for the Compare densities>Against theoretical parameter procedure. Knoke information is a 10-by-10 matrix.? My question: Is there a minimum matrix size for this command? (For example, if the Knoke information matrix was 5-by-5, 4-by-4, or 3-by-3, would I run into problems with interpretation of results?) Many thanks, Christine Newton (Doctoral candidate, |
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Two networks compare
Hi everyone:
I wonder if there is any tool in Ucinet for me to compare two different networks in terms of density or centralization. I am studying two different networks: one with 62 nodes, 0.87 density,and 0.239centralization; the other with 39 nodes, 0.65 density,and 0.135 centralization. Is there any tool which I could compare these two network just like T test in SPSS. Thanks a lot for help! |
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Possible Bug in K-plex Routine
There seems to be a bug in recent versions of the k-plex routine.
I noticed on both versions 6.665, and version 6.629 (on different computers) that I cannot open a data set from the k-plexes routine. The old version (K-plex legacy) seems to work fine. DBT -- 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@... |
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Re: Commands for CLI
开云体育Hi Sophie, I’ve uploaded a new version of ucinet (6.666) that has the functions you need.
steve ? ? From: ucinet@... <ucinet@...>
Sent: Wednesday, October 24, 2018 05:48 To: ucinet@... Subject: [UCINET] Commands for CLI ? ? Hello Group,
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Re: Group Centrality
开云体育The right tool is Network|Group Centrality|measure. But at present it will only give you degree and k-step reach. The way it works is you provide name of network and name of actor-by-group indicator matrix, and it will compute degree centrality for each group. For example, the network might be campnet, and the indicator matrix might be this: ? ? ? ? ??????????????? 1? 2? 3? 4? 5? 6? 7? 8? 9 10 ???????????????-- -- -- -- -- -- -- -- -- -- ????1?? HOLLY?? 1? 0? 0? 0? 0? 0? 0? 0? 0? 0 ????2? BRAZEY?? 0? 1? 0? 0? 0? 0? 0? 0? 0? 0 ????3?? CAROL?? 0? 0? 1? 1? 0? 0? 0? 0? 0? 0 ????4???? PAM?? 0? 0? 0? 1? 1? 1? 0? 0? 0? 0 ????5???? PAT?? 0? 0? 1? 0? 0? 0? 0? 0? 0? 0 ????6? JENNIE?? 0? 0? 0? 0? 1? 0? 0? 0? 0? 0 ????7 PAULINE?? 0? 0? 1? 1? 0? 1? 0? 0? 0? 0 ????8???? ANN?? 0? 0? 0? 0? 1? 1? 0? 0? 0? 0 ????9 MICHAEL?? 1? 0? 0? 0? 0? 0? 1? 0? 0? 0 ???10??? BILL?? 0? 0? 0? 0? 0? 0? 1? 0? 0? 0 ???11???? LEE?? 0? 1? 0? 0? 0? 0? 0? 0? 0? 0 ???12???? DON?? 1? 0? 0? 0? 0? 0? 1? 0? 0? 0 ???13??? JOHN?? 0? 0? 0? 0? 0? 0? 0? 1? 0? 0 ???14?? HARRY?? 1? 0? 0? 0? 0? 0? 1? 0? 0? 0 ???15??? GERY?? 0? 0? 0? 0? 0? 0? 0? 1? 1? 0 ???16?? STEVE?? 0? 1? 0? 0? 0? 0? 0? 0? 1? 1 ???17??? BERT?? 0? 1? 0? 0? 0? 0? 0? 0? 0? 1 ???18??? RUSS?? 0? 0? 0? 0? 0? 0? 0? 1? 1? 1 ? Each column is a group. Eg., the first group contains Holly, Michael, Don, and Harry. The output looks like this ? ????????????? 1 ??????2?????? 3?????? 4 ???????? Degree nDegree 2StepRe n2StepR ??????? ------- ------- ------- ------- ???? 1??? 4.000?? 0.286? 11.000?? 0.786 ???? 2??? 2.000?? 0.143?? 4.000?? 0.286 ???? 3??? 5.000?? 0.333? 10.000?? 0.667 ???? 4??? 5.000?? 0.333? 10.000?? 0.667 ???? 5??? 4.000?? 0.267?? 8.000?? 0.533 ???? 6??? 5.000?? 0.333? 10.000?? 0.667 ???? 7??? 2.000?? 0.143?? 7.000?? 0.500 ???? 8??? 4.000?? 0.267? 14.000?? 0.933 ???? 9??? 5.000?? 0.333? 10.000?? 0.667 ??? 10??? 4.000 ??0.267?? 6.000?? 0.400 ? The rows are groups. ? I will have to find some time to add other measures. ? steve ? From: ucinet@... <ucinet@...>
Sent: Monday, October 22, 2018 12:57 To: ucinet@... Subject: [UCINET] Group Centrality ? ? Hello Group, I am Roberto an user of Ucinet, and I have one question about a tool, if someone can help me.
How can i find the degree of a subset of nodes chosen by me within a larger group? The group centrality tool I have seen in Ucinet, finds the group with the highest centrality among all the nodes of the group. ? For my research I need a command that would allow me to tell Ucinet to calculate the degree, Bc and Cc of a sub-group defined by me within the total. ? Thanks ? ?
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Re: Group Centrality
Once I have choose a network, my problem is to measure degree centrality of that sub-network as a all (as if it were a single node) respect to the rest of the network.
In other words, duplicates of links with non-group members and links within the group should be eliminated, that is why I cannot sum up individual centrality of the group members. |
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Commands for CLI
Hello Group,
I am Sophie and I use UCINET for my PhD. I work with the CLI which I find helpful to fasten up my work. So, I have a question for the CLI and its commands: I've tried to symmetrize my matrices but I couldn't find a command to handle missings. Using the menu bar I can choose between "both missing" and "Choose non-missing value". I recognized that the default handling for the CLI is "choose non-missing value" which doesn't fit for my work. Is there a command for the CLI to change this handling to "both missing"? Another question that came up by using the CLI: I got the degrees (indegrees/outdegrees) and other centrality measures for my networks by using the command "deg" and "cent" but they don't calculate the "nIndegrees/nOutdegrees". Using the menu bar (Network > Centrality and Power > Degree) it calculates the nIndegrees and nOutdegree. So, my question is: is there a command for the CLI to get the nIndegrees and nOutdegrees? Thanks in advance for your help! Sophie -- Sophie Michalke Projekt Starke Klasse AG Forschungsmethoden/empirische Bildungsforschung Institut für Erziehungswissenschaft Westf?lische Wilhelms-Universit?t Münster E-Mail: sophie.michalke@... Tel.: 0251-83 22590 |