Re: Extracting a specific component from a large muti-component network
So, if your input network was campnet, one of the outputs from the components routine would be campnet-compsets. Then you can go to ‘data|filter/extract|subgraph based on attribute’. ?You fill it out like this:
?
?
Note that I specified column 2, because I want to extract the 2nd component.
?
Btw, I wrote this up in a short tutorial. Go to the link below and choose the document called “Extract Subgraphs Corresponding to Components”.
?
?
steve
?
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Show quoted text
From: [email protected] < [email protected]> On Behalf Of
McCain,Katherine via groups.io
Sent: Wednesday, July 6, 2022 10:12
To: [email protected]
Subject: [ucinet] Extracting a specific component from a large muti-component network
?
?
The directions I wrote out for myself are dated 2012 and it appears that the commands and input/output screens in UCINet have changed. No surprise there. What I’d like to find out is what are the current commands that would do the same
as the following:
?
- I used to run the following?
Network|regions|components|binary graphs? and this would give me an output called
component_sets.
- In 2012 I would be given a long text document that included a list of the node names in each component and an identifying column number
- Now I get a list of components by size and a single list of node names with a column number.
?
- To extract a specific component I used to run
Data|filter/extract|subgraphs for each group? --and I’d be presented with an input screen that was actually labeled “Extract Subgraph Via Attribute Vector”
- In 2012 I was able to input my data set, my “compsets” data set and specify the column I wanted to extract (the component I was interested in)
?
- This is where I’m lost – I don’t see a command that would allow me to extract just one column from the “compsets” output so I could take a look at in in NetDraw.
?
?
????????????????????????????????????????? 
?
??????????????? Guidance and suggestions would be appreciated. Clearly I’m missing something that is perfectly obvious to folks who have been persistent users of UCINet—possibly just a terminology change.
?
??????????????? Regards,
???????????????
??????????????? Katherine W. McCain, Professor Emerita
??????????????? Department of Information Science
??????????????? College of Computing & Informatics
??????????????? Drexel University
??????????????? 3675 Market St., Suite 1100
??????????????? Philadelphia, PA 19104
?
|
Extracting a specific component from a large muti-component network
The directions I wrote out for myself are dated 2012 and it appears that the commands and input/output screens in UCINet have changed. No surprise there. What I’d like to find out is what are the current commands that would do the same
as the following:
?
- I used to run the following?
Network|regions|components|binary graphs? and this would give me an output called
component_sets.
- In 2012 I would be given a long text document that included a list of the node names in each component and an identifying column number
- Now I get a list of components by size and a single list of node names with a column number.
?
- To extract a specific component I used to run
Data|filter/extract|subgraphs for each group? --and I’d be presented with an input screen that was actually labeled “Extract Subgraph Via Attribute Vector”
- In 2012 I was able to input my data set, my “compsets” data set and specify the column I wanted to extract (the component I was interested in)
?
- This is where I’m lost – I don’t see a command that would allow me to extract just one column from the “compsets” output so I could take a look at in in NetDraw.
?
?
????????????????????????????????????????? 
?
??????????????? Guidance and suggestions would be appreciated. Clearly I’m missing something that is perfectly obvious to folks who have been persistent users of UCINet—possibly just a terminology change.
?
??????????????? Regards,
???????????????
??????????????? Katherine W. McCain, Professor Emerita
??????????????? Department of Information Science
??????????????? College of Computing & Informatics
??????????????? Drexel University
??????????????? 3675 Market St., Suite 1100
??????????????? Philadelphia, PA 19104
?
|
Re: some questions about QAP
Hi Borgatti,
Thanks for your reply,?They have been very helpful!
Best,
Longxia Huo
Ph.D. Student
|
Re: some questions about QAP
I’m not a statistician, but I will give you my opinion on your first question. Hopefully, someone more qualified will be willing to
comment as well. The relationship between mrqap and lrqap is just as you say, and you may prefer to use logistic regression to predict a binary variable. But using ordinary regression to predict binary variables is not unusual (google ‘linear probability model’).
It does introduce heteroskedasticity, but since qap doesn’t use standard errors in any direct sense, I don’t see a problem.
?
As for Q2, I don’t see how one could do that. Again, it would be great if someone with greater statistical knowledge would comment.
?
steve
?
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Show quoted text
From: [email protected] <[email protected]>
On Behalf Of ??? via groups.io
Sent: Monday, June 20, 2022 22:21
To: [email protected]
Subject: [ucinet] some questions about QAP
?
?
Hi all,
I have two questions relating to QAP in UCINET.
1. MR-QAP and LR-QAP application in binary network
After reading the chapter8 of ASN, I am wondering that the relationship between MR-QAP and LR-QAP is the same as between their analogues in logit and ordinary regression; and MR-QAP is more suitable for valued
dependent variable and LR-QAP is more suitable for binary dependent variable? However, I find that some binary cases like the high-tec example is analysed by MR-QAP. Or may MR-QAP works in both cases???
2.coefficient comparison
I have two different undirected collaborative networks: N1(35*35) and N2(41*41). And I want to run QAP to (1) examine factors predicting collaboration (homophily, sender effect, and transitivity; the identical
model specification, but the outcome objects are different); (2) explore the relative contribution of above effects within network; (3) and compare the strength of certain effect across QAPs (e.g. is the homophily effect in N1 stronger than N2). Could I ues
MR-QAP and compare the standardized coefficient of N1 model and N2 model and run T-test?
Any information would be appreciated. Thank you!
Best,
Longxia Huo
Ph.D. Student
|
Re: assortativity coefficient
Ucinet computes a number of “assortativity” measures for both continuous and categorical data. None of these are identical to Newman’s measures. But, for example, for the power grid dataset, Newman gets -.003
?
?
And UCINET 6.753 gets:
?
Homophily/Influence measures for powergrid
?
??????????????????? 1
?????????????????Degr
???????????????????ee
?????????????????----
?????1 powergrid -0.002
?
1 rows, 1 columns, 1 levels.
?
For one measure. (other measures get different values).
?
steve
?
toggle quoted message
Show quoted text
From: [email protected] < [email protected]> On Behalf Of
Olivier J Walther via groups.io
Sent: Tuesday, June 21, 2022 10:22
To: [email protected]
Subject: [ucinet] assortativity coefficient
?
?
Dear all,
?
Does anyone know if UCINET can calculate ’s Assortativity Coefficient?
?
Best regards,
?
Oliver
?
--
Olivier J. Walther, Ph.D.
3205 Turlington Hall
Department of Geography
University of Florida
Gainesville, FL 32611
+1-352-273-4739
?
|
assortativity coefficient
Dear all,
?
Does anyone know if UCINET can calculate ’s Assortativity Coefficient?
?
Best regards,
?
Oliver
?
--
Olivier J. Walther, Ph.D.
3205 Turlington Hall
Department of Geography
University of Florida
Gainesville, FL 32611
+1-352-273-4739
?
|
Hi all,
I have two questions relating to QAP in UCINET.
1. MR-QAP and LR-QAP application in binary network
After reading the chapter8 of ASN, I am wondering that the relationship between MR-QAP and LR-QAP is the same as between their analogues in logit and ordinary regression; and MR-QAP is more suitable for valued dependent variable and LR-QAP is more suitable for binary dependent variable? However, I find that some binary cases like the high-tec example is analysed by MR-QAP. Or may MR-QAP works in both cases? ??
2.coefficient comparison
I have two different undirected collaborative networks: N1(35*35) and N2(41*41). And I want to run QAP to (1) examine factors predicting collaboration (homophily, sender effect, and transitivity; the identical model specification, but the outcome objects are different); (2) explore the relative contribution of above effects within network; (3) and compare the strength of certain effect across QAPs (e.g. is the homophily effect in N1 stronger than N2). Could I ues MR-QAP and compare the standardized coefficient of N1 model and N2 model and run T-test?
Any information would be appreciated. Thank you!
Best,
Longxia Huo
Ph.D. Student
|
Thanks. I only have a few days to do this, so ideally, really looking for some 1 to 1.
|
There is an amazing book that will help you understand SNA.
Analyzing Social Networks by Stephen Borgatti, Martin Everett and Jeffrey C Johnson
best!
On Monday, June 13, 2022, 07:15:37 AM EDT, Dr. Tariq Ahmad PhD <tariqnahmad@...> wrote:
hi
?
I am a newbie to UCINET and need some one-to-one help on some seemingly basic tasks, e.g. extract data from a network, compare graphs. Happy to pay for your time.
?
Thank you.
|
hi
?
I am a newbie to UCINET and need some one-to-one help on some seemingly basic tasks, e.g. extract data from a network, compare graphs. Happy to pay for your time.
?
Thank you.
|
Age, CSS performance data set
Dear Networkers
?i am looking for a publicly available data set (like Krackhardt, 1990) that includes the following
1) demographics data
2) CSS (friendship and advice)
3) Performance ratings.
Any guidance on how to get such a dataset or the performance measures for Krackhardt's dataset would be greatly appreciated.
Thank you in advance?
Prasad Balkundi
SUNY Buffalo
|
On Fri, Jun 10, 2022 at 07:50 AM, Steve Borgatti wrote:
滨苍蝉迟补濒濒.辫补肠办补驳别蝉(“蝉苍补”)
Looks this is working know, tnx? p? ? ?(-:
|
|
|
Hi,
I've got this?xUCINET_0.0.1.0022.zip from:
|
In general with R, if you are installing something and it says something like
?
“there is no package called ‘sna’”
?
Then you can just install the missing package, as in :
?
滨苍蝉迟补濒濒.辫补肠办补驳别蝉(“蝉苍补”)
?
Then do the library command again.
?
Btw, which version of xucinet is this?
?
steve
?
toggle quoted message
Show quoted text
From: [email protected] < [email protected]> On Behalf Of
Paulo Matui via groups.io
Sent: Friday, June 10, 2022 10:40
To: [email protected]
Subject: Re: [ucinet] xUCINET installation
?
?
Hi,
I'm trying to install xUCINET, and it is returnig:
?install.packages("blockmodeling")
Installing package into ‘C:/Users/paulo/AppData/Local/R/win-library/4.2’
(as ‘lib’ is unspecified)
trying URL 'https://cran.rstudio.com/bin/windows/contrib/4.2/blockmodeling_1.0.5.zip'
Content type 'application/zip' length 415153 bytes (405 KB)
package ‘blockmodeling’ successfully unpacked and MD5 sums checked
The downloaded binary packages are in
C:\Users\paulo\AppData\Local\Temp\RtmpG0UAUC\downloaded_packages
Error: package or namespace load failed for ‘xUCINET’ in loadNamespace(j <- i[[1L]], c(lib.loc, .libPaths()), versionCheck = vI[[j]]):
?there is no package called ‘sna’
I'm doing this on
RStudio 2022.02.3+492 "Prairie Trillium" Release (1db809b8323ba0a87c148d16eb84efe39a8e7785, 2022-05-20) for Windows
Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) QtWebEngine/5.12.8 Chrome/69.0.3497.128 Safari/537.36
Should I fall back to a previous version?
saluti
p
|
Hi, I'm trying to install xUCINET, and it is returnig:
?install.packages("blockmodeling")
Installing package into ‘C:/Users/paulo/AppData/Local/R/win-library/4.2’
(as ‘lib’ is unspecified)
trying URL 'https://cran.rstudio.com/bin/windows/contrib/4.2/blockmodeling_1.0.5.zip'
Content type 'application/zip' length 415153 bytes (405 KB)
downloaded 405 KB
?
package ‘blockmodeling’ successfully unpacked and MD5 sums checked
?
The downloaded binary packages are in
C:\Users\paulo\AppData\Local\Temp\RtmpG0UAUC\downloaded_packages
> library("xUCINET")
Error: package or namespace load failed for ‘xUCINET’ in loadNamespace(j <- i[[1L]], c(lib.loc, .libPaths()), versionCheck = vI[[j]]):
?there is no package called ‘sna’
I'm doing this on
RStudio 2022.02.3+492 "Prairie Trillium" Release (1db809b8323ba0a87c148d16eb84efe39a8e7785, 2022-05-20) for Windows
Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) QtWebEngine/5.12.8 Chrome/69.0.3497.128 Safari/537.36
Should I fall back to a previous version?
saluti
p
|
Re: Component Ratio calculation to a node adjacent matrix
#help
Professor, Great, which means that, if I multiply the result?over a subgraph?by (Nsub-1), I'll get the number of eulerian cycles where it is not isolated or strong by itself - the digraph case where the node has only in-degree or out-degree. So, it is feasible?to calculate the number of eulerian cycles that a node is part in its directional adjacent matrix,?including ties among the adjacent nodes. Then, the point is how to generate the adjacent subgraph? I can generate subgraph from a partition vector, but the best for my research is if there is a way to extract the adjacent submatrix of a node.
The theoretical approach of this model comes from Padgett, J. F. (1997) - The emergence of simple ecologies of skills. The organizational learning process is treated as cycles. From the field side, some of the informants confirmed they use multiple allocation practices to induce results in quality, productivity?and relevance in the HEI research?community, some not. I want to triangulate objective?data, and perhaps correlates individual categories.? Em qua., 8 de jun. de 2022 às 09:03, Steve Borgatti < sborgatti@...> escreveu:
Yes, it uses the Tarjan depth-first search algorithm
Steve Borgatti
LINKS Center for Social Network Analysis
?
Hi Professor,
I know, I?did this analysis?with this metric in the figure attached. Actually, reading my?research notes I have a question about the CR metric. It is the number of components minus 1 divided?by the number of
nodes minus 1. To achieve the number of strong components in a digraph, does UCINET?use the in-depth research from Robert Tarjan (1972)?
This is the population of Administration and Industrial Engineer??research departments in Brazilian HEIs, the ties are teachers who teach?in more?than 1 research department.?
paulo
Paulo, the component ratio is something you calculate for the whole network. It measures the extent to which the network is broken up into fragments. In UCINET you can calculate it by going to network|whole
networks|multiple measures. For your directed data, you need to decide whether to respect direction or ignore it. I ran it both ways and got the below. First column is ignoring direction and the second is respecting direction.
?
?
?????????????????????????????????? 1????????? 2
??????????????????????????000_2020_C 000_2020_C
??????????????????????????ONS_ACAD_t ONS_ACAD_t
??????????????????????????o_PROF-coh o_PROF-coh
???????????????????????????????????u????????? d
??????????????????????????---------- ----------
????1???????? # of nodes???? 317.000??? 317.000
????2????????? # of ties???? 740.000??? 416.000
????3???????? Avg Degree?????? 2.334????? 1.312
????4????? Indeg H-Index?????? 7.000????? 5.000
????5?????? K-core index?????? 4.000????? 4.000
????6 Deg Centralization?????? 0.075????? 0.075
????7 Out-Centralization?????? 0.075????? 0.021
????8? In-Centralization?????? 0.075????? 0.066
????9???????? Indeg Corr?????? 0.062????? 0.056
???10??????? Outdeg Corr?????? 0.062????? 0.027
???11??????????? Density?????? 0.007????? 0.004
???12???????? Components????? 54.000??? 241.000
???13??? Component Ratio?????? 0.168????? 0.759
???14????? Connectedness?????? 0.513????? 0.062
???15????? Fragmentation?????? 0.487????? 0.938
???16??????????? Closure?????? 0.186????? 0.135
???17?????? Avg Distance?????? 6.021????? 4.506
???18????? Prop within 3?????? 0.074????? 0.019
???19?????????? # w/in 3??? 7390.000?? 1861.000
???20??????? SD Distance?????? 2.408????? 1.884
???21?????????? Diameter????? 16.000???? 11.000
???22?????? Wiener Index? 309716.000? 28206.000
???23???? Dependency Sum? 258280.000? 21947.000
???24??????????? Breadth?????? 0.894????? 0.982
???25??????? Compactness?????? 0.106????? 0.018
???26??? Small Worldness???????????????????????
???27??????????? Mutuals?????? 0.007????? 0.001
???28??????? Asymmetrics?????? 0.000????? 0.006
???29????? ????????Nulls?????? 0.993????? 0.993
???30??? Arc Reciprocity?????? 1.000????? 0.221
???31?? Dyad Reciprocity?????? 1.000????? 0.124
?
Having looked at your data, I’m not sure the component ratio would be very useful. If we ignore direction, your data consist of a single large component containing 72% of all nodes, and many many tiny
components that are just isolates or dyads.
?
?
The picture seems more valuable than the statistic.
?
steve
?
?
?
Hi all,
I have the directional networks from 1990 to 2020 - the files attached belongs to 2020, and I'm trying to calculate the component ratio of each node adjacent matrix, icluding the ties among adjacent nodes. Does any one have an idea how to generate automatically
the sub-digraphs for the calculation?
Saluti?
matui
--
Paulo Matui
12 98122 6600
|
Re: Component Ratio calculation to a node adjacent matrix
#help
Yes, it uses the Tarjan depth-first search algorithm
Steve Borgatti
LINKS Center for Social Network Analysis
toggle quoted message
Show quoted text
On Jun 8, 2022, at 07:59, Paulo Matui <paulo.matui@...> wrote:
?
Hi Professor,
I know, I?did this analysis?with this metric in the figure attached. Actually, reading my?research notes I have a question about the CR metric. It is the number of components minus 1 divided?by the number of
nodes minus 1. To achieve the number of strong components in a digraph, does UCINET?use the in-depth research from Robert Tarjan (1972)?
This is the population of Administration and Industrial Engineer??research departments in Brazilian HEIs, the ties are teachers who teach?in more?than 1 research department.?
paulo
Paulo, the component ratio is something you calculate for the whole network. It measures the extent to which the network is broken up into fragments. In UCINET you can calculate it by going to network|whole
networks|multiple measures. For your directed data, you need to decide whether to respect direction or ignore it. I ran it both ways and got the below. First column is ignoring direction and the second is respecting direction.
?
?
?????????????????????????????????? 1????????? 2
??????????????????????????000_2020_C 000_2020_C
??????????????????????????ONS_ACAD_t ONS_ACAD_t
??????????????????????????o_PROF-coh o_PROF-coh
???????????????????????????????????u????????? d
??????????????????????????---------- ----------
????1???????? # of nodes???? 317.000??? 317.000
????2????????? # of ties???? 740.000??? 416.000
????3???????? Avg Degree?????? 2.334????? 1.312
????4????? Indeg H-Index?????? 7.000????? 5.000
????5?????? K-core index?????? 4.000????? 4.000
????6 Deg Centralization?????? 0.075????? 0.075
????7 Out-Centralization?????? 0.075????? 0.021
????8? In-Centralization?????? 0.075????? 0.066
????9???????? Indeg Corr?????? 0.062????? 0.056
???10??????? Outdeg Corr?????? 0.062????? 0.027
???11??????????? Density?????? 0.007????? 0.004
???12???????? Components????? 54.000??? 241.000
???13??? Component Ratio?????? 0.168????? 0.759
???14????? Connectedness?????? 0.513????? 0.062
???15????? Fragmentation?????? 0.487????? 0.938
???16??????????? Closure?????? 0.186????? 0.135
???17?????? Avg Distance?????? 6.021????? 4.506
???18????? Prop within 3?????? 0.074????? 0.019
???19?????????? # w/in 3??? 7390.000?? 1861.000
???20??????? SD Distance?????? 2.408????? 1.884
???21?????????? Diameter????? 16.000???? 11.000
???22?????? Wiener Index? 309716.000? 28206.000
???23???? Dependency Sum? 258280.000? 21947.000
???24??????????? Breadth?????? 0.894????? 0.982
???25??????? Compactness?????? 0.106????? 0.018
???26??? Small Worldness???????????????????????
???27??????????? Mutuals?????? 0.007????? 0.001
???28??????? Asymmetrics?????? 0.000????? 0.006
???29????? ????????Nulls?????? 0.993????? 0.993
???30??? Arc Reciprocity?????? 1.000????? 0.221
???31?? Dyad Reciprocity?????? 1.000????? 0.124
?
Having looked at your data, I’m not sure the component ratio would be very useful. If we ignore direction, your data consist of a single large component containing 72% of all nodes, and many many tiny
components that are just isolates or dyads.
?
?
The picture seems more valuable than the statistic.
?
steve
?
?
?
Hi all,
I have the directional networks from 1990 to 2020 - the files attached belongs to 2020, and I'm trying to calculate the component ratio of each node adjacent matrix, icluding the ties among adjacent nodes. Does any one have an idea how to generate automatically
the sub-digraphs for the calculation?
Saluti?
matui
--
Paulo Matui
12 98122 6600
|
Re: Component Ratio calculation to a node adjacent matrix
#help
Hi Professor,
I know, I?did this analysis?with this metric in the figure attached. Actually, reading my?research notes I have a question about the CR metric. It is the number of components minus 1 divided?by the number of nodes minus 1. To achieve the number of strong components in a digraph, does UCINET?use the in-depth research from Robert Tarjan (1972)? This is the population of Administration and Industrial Engineer??research departments in Brazilian HEIs, the ties are teachers who teach?in more?than 1 research department.?
paulo
Paulo, the component ratio is something you calculate for the whole network. It measures the extent to which the network is broken up into fragments. In UCINET you can calculate it by going to network|whole networks|multiple measures. For your directed data, you need to decide whether to respect direction or ignore it. I ran it both ways and got the below. First column is ignoring direction and the second is respecting direction. ? ? ?????????????????????????????????? 1????????? 2 ??????????????????????????000_2020_C 000_2020_C ??????????????????????????ONS_ACAD_t ONS_ACAD_t ??????????????????????????o_PROF-coh o_PROF-coh ???????????????????????????????????u????????? d ??????????????????????????---------- ---------- ????1???????? # of nodes???? 317.000??? 317.000 ????2????????? # of ties???? 740.000??? 416.000 ????3???????? Avg Degree?????? 2.334????? 1.312 ????4????? Indeg H-Index?????? 7.000????? 5.000 ????5?????? K-core index?????? 4.000????? 4.000 ????6 Deg Centralization?????? 0.075????? 0.075 ????7 Out-Centralization?????? 0.075????? 0.021 ????8? In-Centralization?????? 0.075????? 0.066 ????9???????? Indeg Corr?????? 0.062????? 0.056 ???10??????? Outdeg Corr?????? 0.062????? 0.027 ???11??????????? Density?????? 0.007????? 0.004 ???12???????? Components????? 54.000??? 241.000 ???13??? Component Ratio?????? 0.168????? 0.759 ???14????? Connectedness?????? 0.513????? 0.062 ???15????? Fragmentation?????? 0.487????? 0.938 ???16??????????? Closure?????? 0.186????? 0.135 ???17?????? Avg Distance?????? 6.021????? 4.506 ???18????? Prop within 3?????? 0.074????? 0.019 ???19?????????? # w/in 3??? 7390.000?? 1861.000 ???20??????? SD Distance?????? 2.408????? 1.884 ???21?????????? Diameter????? 16.000???? 11.000 ???22?????? Wiener Index? 309716.000? 28206.000 ???23???? Dependency Sum? 258280.000? 21947.000 ???24??????????? Breadth?????? 0.894????? 0.982 ???25??????? Compactness?????? 0.106????? 0.018 ???26??? Small Worldness??????????????????????? ???27??????????? Mutuals?????? 0.007????? 0.001 ???28??????? Asymmetrics?????? 0.000????? 0.006 ???29????? ????????Nulls?????? 0.993????? 0.993 ???30??? Arc Reciprocity?????? 1.000????? 0.221 ???31?? Dyad Reciprocity?????? 1.000????? 0.124 ? Having looked at your data, I’m not sure the component ratio would be very useful. If we ignore direction, your data consist of a single large component containing 72% of all nodes, and many many tiny components that are just isolates or dyads. ? 
? The picture seems more valuable than the statistic. ? steve ? ? ? Hi all,
I have the directional networks from 1990 to 2020 - the files attached belongs to 2020, and I'm trying to calculate the component ratio of each node adjacent matrix, icluding the ties among adjacent nodes. Does any one have an idea how to generate automatically the sub-digraphs for the calculation?
Saluti?
matui
|
Re: Component Ratio calculation to a node adjacent matrix
#help
Paulo, the component ratio is something you calculate for the whole network. It measures the extent to which the network is broken up into fragments. In UCINET you can calculate it by going to network|whole networks|multiple measures. For your directed data, you need to decide whether to respect direction or ignore it. I ran it both ways and got the below. First column is ignoring direction and the second is respecting direction. ? ? ?????????????????????????????????? 1????????? 2 ??????????????????????????000_2020_C 000_2020_C ??????????????????????????ONS_ACAD_t ONS_ACAD_t ??????????????????????????o_PROF-coh o_PROF-coh ???????????????????????????????????u????????? d ??????????????????????????---------- ---------- ????1???????? # of nodes???? 317.000??? 317.000 ????2????????? # of ties???? 740.000??? 416.000 ????3???????? Avg Degree?????? 2.334????? 1.312 ????4????? Indeg H-Index?????? 7.000????? 5.000 ????5?????? K-core index?????? 4.000????? 4.000 ????6 Deg Centralization?????? 0.075????? 0.075 ????7 Out-Centralization?????? 0.075????? 0.021 ????8? In-Centralization?????? 0.075????? 0.066 ????9???????? Indeg Corr?????? 0.062????? 0.056 ???10??????? Outdeg Corr?????? 0.062????? 0.027 ???11??????????? Density?????? 0.007????? 0.004 ???12???????? Components????? 54.000??? 241.000 ???13??? Component Ratio?????? 0.168????? 0.759 ???14????? Connectedness?????? 0.513????? 0.062 ???15????? Fragmentation?????? 0.487????? 0.938 ???16??????????? Closure?????? 0.186????? 0.135 ???17?????? Avg Distance?????? 6.021????? 4.506 ???18????? Prop within 3?????? 0.074????? 0.019 ???19?????????? # w/in 3??? 7390.000?? 1861.000 ???20??????? SD Distance?????? 2.408????? 1.884 ???21?????????? Diameter????? 16.000???? 11.000 ???22?????? Wiener Index? 309716.000? 28206.000 ???23???? Dependency Sum? 258280.000? 21947.000 ???24??????????? Breadth?????? 0.894????? 0.982 ???25??????? Compactness?????? 0.106????? 0.018 ???26??? Small Worldness??????????????????????? ???27??????????? Mutuals?????? 0.007????? 0.001 ???28??????? Asymmetrics?????? 0.000????? 0.006 ???29????? ????????Nulls?????? 0.993????? 0.993 ???30??? Arc Reciprocity?????? 1.000????? 0.221 ???31?? Dyad Reciprocity?????? 1.000????? 0.124 ? Having looked at your data, I’m not sure the component ratio would be very useful. If we ignore direction, your data consist of a single large component containing 72% of all nodes, and many many tiny components that are just isolates or dyads. ? 
? The picture seems more valuable than the statistic. ? steve ? ?
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From: [email protected] < [email protected]> On Behalf Of Paulo Matui Sent: Tuesday, June 7, 2022 15:01 To: [email protected]Subject: [ucinet] Component Ratio calculation to a node adjacent matrix #help ? Hi all,
I have the directional networks from 1990 to 2020 - the files attached belongs to 2020, and I'm trying to calculate the component ratio of each node adjacent matrix, icluding the ties among adjacent nodes. Does any one have an idea how to generate automatically the sub-digraphs for the calculation?
Saluti?
matui
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Paulo Matui
