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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.

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

Dear all, I’ve tried to install xUCINET on RStudio, but failed. I followed the steps as suggested here: https://www.analyzingsocialnetworksusingr.com/xucinet. The error message is: ERROR: dependency ‘blockmodeling’ is not available for package ‘xUCINET’ * removing ‘/Library/Frameworks/R.framework/Versions/4.1/Resources/library/xUCINET’ Warning in install.packages : installation of package ‘/Users/chl/Documents/Methods_materials/SNA/xUCINET_0.0.1.0015.tar.gz’ had non-zero exit statu Has anyone had this problem before? I’d appreciate any input. Thanks! -Chih-Hui Chih-Hui LAI (賴至慧), PhD Associate Research Fellow Research Center for Humanities and Social Sciences (RCHSS) Academia Sinica Taipei, Taiwan, 115 Email: imchlai@... Tel: 886-02-27898130 Mobile: 0966-192-712 Web: http://chihhui.wix.com/chihhuilai

Hi Everyone, I am trying to show some ego connections to different alters in NetDraw, is there a way to model only ego's ties? Thanks for your time :) Ozzie

Hello, I am trying to calculate ego-alter similarity via UCINET, however, although my net and attribute data are completely symmetrical on the Excell sheet (both contain 192 rows), on the UCINET I receive different rows' sizes. When I input the files into Netdraw it works smoothly, without any warning. However, trying to calculate the E-I index, I receive an "Attribute vector must be the same size as matrix rows" notice. Maybe someone can help solve this issue, Thank you Reut Liraz

Hi all, just letting you know that the LINKS Center at the University of Kentucky is offering four workshops on SNA in June. These include both Windows UCINET-based and R-based workshops. The R-based workshops are designed to complement the new book Analyzing Social Networks Using R by Borgatti, Everett, Johnson and Agneessens (2022). The workshops are online-only. Track 1. Introduction to Social Network Analysis - June 6, 7, 8 Led by Dan Brass, Rich DeJordy and Dan Halgin, this course provides a basic introduction to the theory and method of network research. Topics include theoretical perspectives, social capital, and the nuts and bolts of doing a network analysis using UCINET and Netdraw software (both Windows programs). Starting June 6, it meets Monday, Tuesday, and Wednesday from 9:30am-11:30am EDT and 12:30pm-2:30pm EDT (12 contact hours) and provides homework assignments and access to TAs. The course costs $1500 ($750 for students). More details ... Track 2. Intermediate Social Network Analysis (UCINET) - June 13, 14, 15, 16 Taught by Steve Borgatti, this is a more technical and in-depth workshop focusing on the concepts and methods of SNA, particularly as they apply to specific research objectives. The mathematics behind the measures is explained, as well as how to use the measures in practice. UCINET for Windows software is used extensively. The course meets four times starting June 13: Monday, Tuesday, Wednesday, and Thursday 10:00am-12:00pm EDT and 12:30pm-2:30pm EDT (16 contact hours). A fifth day is led by the TAs. The course costs $1500 ($750 for students). More details ... Track 3. Intermediate Social Network Analysis (R) - June 9, 10, 13, 14, 16 Taught by Filip Agneessens and Francisco Trincado-Munoz. Like Track 2, this is a more technical and in-depth workshop than the intro workshop, focusing on the concepts and methods of SNA, particularly as they apply to specific research objectives. This workshop uses the software package R, rather than UCINET. The mathematics behind the measures is explained, as well as how to use the measures in practice. The course meets five times across two weeks starting June 9 with each instructional day consisting of two sessions: 10:00am-12:15pm EDT and 12:45pm-3:00pm EDT (22.5 contact hours). Participants will receive homework, which includes running analyses and interpreting results, and which they can perform in small groups of 2 or 3. These results are then discussed at the next meeting. The course costs $2000 ($1000 for students). More details ... Track 4. Stochastic Models of Networks - June 20, 21, 22, 27, 28 (pm only), 29 (pm only) Taught by Filip Agneessens and Robert Krause, this course covers ERGMs and SAOMs, two families of statistical models used to model the presence or absence of ties. While the course is introductory, prior familiarity with both statistics and network analysis is strongly advised. Starting after Track 2 and Track 3 finish, the course meets six days (22.5 contact hours), across two weeks, starting June 20. The course aims to be interactive, using breakout sessions for the exercises and time between classes to consolidate knowledge. Participants will receive homework involving running further analyses and interpreting result. The homework can be performed in small groups of 2 or 3. These results are then discussed at the next meeting. The course costs $2000 ($1000 for students). More details ... Registration Registration is open now, and will remain open until 48 hours prior to the start of each track or when the track reaches capacity. Registrants may cancel for a full refund up to 24 hours before the start of their track(s). Students receive a 50% discount. Additional (half price) discounts are available for members of the University of Kentucky community. Software It is useful to install the software before the workshop, so that you can get any difficulties ironed out. Please visit our software page. Contact The website for this workshop is https://www.linksworkshop.org/. If you have any questions, please contact Scott Soltis <scott.m.solti

Greetings, I have a question regarding zeros in matrices that will be correlated using QAP Correlation procedure. I've created a simple example (attached) for illustration: Four players in a (very, very small!) tennis club. Nodes are player names. First variable is total number of games played. Second variable is the number of games played that involved a tie-breaker set. There are some players who have not played each other. I'd like to correlate the variables using QAP Correlation. Here are the data for the matrices: Alan played Charles 4 times in total, with 2 games going into a tie-breaker set. Barb played Charles 2 times in total, with 0 games going into a tie-breaker set. Charles played Don 6 times in total, with 1 game going into a tie-breaker set. Don played Alan 3 times in total, with 1 game going into a tie-breaker set. If I organize these data into columns in Excel and correlate the columns, the correlation coefficient is 0.48. However, simple vector correlation uses assumptions that don't hold when doing network analysis, so we use QAP correlation procedures that involve permutation of the matrices. First attempt at QAP Correlation: If I organize these data into adjacency matrices and do NOT recode missing elements to zero (and add missing rows and force symmetry), the UCINET QAP Correlation is 0.4781 and the significance is 0.4215. The QAP Correlation coefficient is the same as the Excel correlation coefficient. Second attempt at QAP Correlation: If I organize these data into adjacency matrices and I DO recode missing elements to zero (and add missing rows and force symmetry), the UCINET QAP Correlation is 0.7311 and the significance is 0.1634. Have the additional zeros in the previously empty matrix elements resulted in a stronger association between the two matrices? The blank cells in the first QAP Correlation attempt aren't missing data - any zeros in the matrices are legitimate. But if I more zeros in the matrices, then the correlation coefficient increases and the p-value decreases...implying that the presence of those zeros are influencing the correlation coefficients upwards and the significance value downwards. Thus, if I have a larger sparse network (e.g., 100 actors) with a lot of valid (empty or zero) cells, my adjacency matrices would be dominated by zeros in cells. Is the QAP correlation an appropriate procedure to use if I want to measure the strength of association of these sparse matrices? Won't the prevalence of zeros in larger matrices "skew" the correlation results even more than the little tennis club example? Hoping that someone can provide clarification for me - I haven't been able to find resources about correlating sparse network matrices containing many legitimate zeros. Regards, Christine Newton (Athabasca University, Canada)

Can UCINET use a symmetric matrix to create a matrix of centralities for all the nodes or just per row? If so, which procedure as choosing centrality now I just obtain per node. I am trying to study ways to create directedness in a 1-mode matrix that originated as a 2-mode matrix. It would be nice if could be done with a variety of centralities to study those effects too. Thank you.

Dear all, I’ve used UCINET to run Davis_SouthernWomen data, using 2-mode categorical core-periphery. As the attached output shows, the core events are 7, 8, and 9. But these results seem different from the ones if using xUCINET (via xDualCorePeriphery function), which showed that the core events are 5,6, 7,8 and 9. > xDualCorePeriphery(Davis_SouthernWomen$Attendance) [[1]] EVELYN LAURA THERESA BRENDA CHARLOTTE FRANCES ELEANOR PEARL RUTH VERNE MYRNA KATHERINE 1 1 1 1 0 0 0 0 0 0 0 0 SYLVIA NORA HELEN DOROTHY OLIVIA FLORA 1 1 0 0 0 0 [[2]] E01 E02 E03 E04 E05 E06 E07 E08 E09 E10 E11 E12 E13 E14 0 0 0 0 1 1 1 1 1 0 0 0 0 0 Does anyone know the reason about the difference? Thanks! -Chih-Hui Chih-Hui LAI (賴至慧), PhD Associate Research Fellow Research Center for Humanities and Social Sciences (RCHSS) Academia Sinica Taipei, Taiwan, 115 Email: imchlai@... Tel: 886-02-27898130 Mobile: 0966-192-712 Web: http://chihhui.wix.com/chihhuilai

Hi, a potential customer wants to know if UCINET runs on Windows 11. I assume it does, but don’t have a Windows 11 machine to confirm. Any of you running UCINET on Windows 11? thanks steve Stephen P. Borgatti Gatton Endowed Chair of Management Gatton College of Business and Economics University of Kentucky sborgatti@...

Dear UCINET community, The LINKS Center for Social Network Analysis at the University of Kentucky offers a workshop on social network analysis (SNA) every summer. In ordinary years, this is held in-person with multiple simultaneous tracks and more than 25 instructors and TAs. This year, however, we are offering four synchronous online tracks conducted via Zoom. With limited exceptions noted below, each track meets on 3-5 days for four to four and a half hours a day. We are also offering a limited number of non-technical one-on-one consultations with experienced research faculty to discuss your individual project(s). The tracks are as follows: Track 1. Introduction to Social Network Analysis - June 6, 7, 8 Led by Dan Brass, Rich DeJordy and Dan Halgin, this course provides a basic introduction to the theory and method of network research. Topics include theoretical perspectives, social capital, and the nuts and bolts of doing a network analysis using UCINET and Netdraw software (both Windows programs). Starting June 6, it meets Monday, Tuesday, and Wednesday from 9:30am-11:30am EDT and 12:30pm-2:30pm EDT (12 contact hours) and provides homework assignments and access to TAs. The course costs $1500 ($750 for students). More details ... Track 2. Intermediate Social Network Analysis (UCINET) - June 13, 14, 15, 16 Taught by Steve Borgatti, this is a more technical and in-depth workshop focusing on the concepts and methods of SNA, particularly as they apply to specific research objectives. The mathematics behind the measures is explained, as well as how to use the measures in practice. UCINET for Windows software is used extensively. The course meets four times starting June 13: Monday, Tuesday, Wednesday, and Thursday 10:00am-12:00pm EDT and 12:30pm-2:30pm EDT (16 contact hours). After each class, students work on homework assignments with the help of the TAs. The course costs $1500 ($750 for students). More details ... Track 3. Intermediate Social Network Analysis (R) - June 9, 10, 13, 14, 16 Taught by Filip Agneessens and Francisco Trincado-Munoz. Like Track 2, this is a more technical and in-depth workshop than the intro workshop, focusing on the concepts and methods of SNA, particularly as they apply to specific research objectives. This workshop uses the software package R, rather than UCINET. The mathematics behind the measures is explained, as well as how to use the measures in practice. The course meets five times across two weeks starting June 9 with each instructional day consisting of two sessions: 10:00am-12:15pm EDT and 12:45pm-3:00pm EDT (22.5 contact hours). Participants will receive homework, which includes running analyses and interpreting results, and which they can perform in small groups of 2 or 3. These results are then discussed at the next meeting. The course costs $2000 ($1000 for students). More details ... Track 4. Stochastic Models of Networks - June 20, 21, 22, 27, 28 (pm only), 29 (pm only) Taught by Filip Agneessens and Robert Krause, this course covers ERGMs and SAOMs, two families of statistical models used to model the presence or absence of ties. While the course is introductory, prior familiarity with both statistics and network analysis is strongly advised. Starting after Track 2 and Track 3 finish, the course meets six days (22.5 contact hours), across two weeks, starting June 20. The course aims to be interactive, using breakout sessions for the exercises and time between classes to consolidate knowledge. Participants will receive homework involving running further analyses and interpreting result. The homework can be performed in small groups of 2 or 3. These results are then discussed at the next meeting. The course costs $2000 ($1000 for students). More details ... Registration Registration is open now, and will remain open until 48 hours prior to the start of each track or when the track reaches capacity. Registrants may cancel for a full refund up to 24 hours before the start of their track(s). Students receive a 50% discount. Additional (half price) discounts are available for membe

Hi All, On the most recent version and the one before that, the Data-Display command does not bring up a matrix to view your ucinet data matrix. Any way to fix this? Thanks Jeff Jeffrey Broadbent Professor Emeritus, Department of Sociology Fellow, Institute on the Environment University of Minnesota Email: broad001@... Curriculum Vitae Webpage Compon: Comparing Climate Change Policy Networks project website East Asian Social Movements “The world is much more interesting than any one discipline.” – Edward Tufte

Hi! Currently I am working on a project, which requires exporting a UCINET attribute data file to Excel. Unfortunately, I cannot find any information on this on the internet. Does anyone know how to do this? Thanks in advance!

Hello UCINET colleagues, I have been working on visualizing a network in Netdraw, and am working on the finding the ideal scale for the size of lines based on their tie strength. I have been somewhat confused on how the scaling works, and wanted to see if anyone could explain. When changing some of the min/max values, some of the line sizes appear to change while others do not, depending on what values I input. For example, the thinnest lines appear to stay exactly the same size when changing from a min of 1 and max of 15 to a min of 5 and max of 15. If anyone can explain how the scaling works, this would be hugely helpful. Thank you!