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I’m relaying the following sad news on behalf of Russ Bernard. steve From: H. Russell Bernard Sent: Thursday, July 11, 2024 10:40 AM To: socnet <socnet@...> Subject: barry wellman our dear friend and colleague, barry wellman, passed away on tuesday, july 9, 2024. he had been very ill for quite a while. more information here: Benjamin’s Park Memorial Chapel www.benjamins.ca russ and carole

Hi all, the LINKS Center for Social Network Analysis at the University of Kentucky is offering a set of four online workshops starting May 20. Each workshop meets for 3 to 5 days for about four hours a day (not including optional extra sessions in some of the workshops). There is also access to a limited number of non-technical one-on-one consultations with experienced research faculty to discuss your individual project(s). The workshops and dates are shown below. Registration is now open! The website for the workshops is https://www.linksworkshop.org/ To go directly to registration, visit https://gatton.uky.edu/links-2024-workshop-registration Workshops Track 1. Introduction to Social Network Analysis - May 20 - May 22, 2024 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 May 20th, it meets Monday, Tuesday, through Wednesday from 9:30am-11:30am ET (New York time) and 12:30pm-2:30pm ET (12 contact hours) and provides homework assignments and access to a TA. The course costs $1500 ($750 for students). More details ... Track 2. Intermediate Social Network Analysis (UCINET) - May 20 - May 23, 2024 Taught by Steve Borgatti, this is a more technical and in-depth workshop focusing on the concepts and methods of SNA, with particular emphasis on relating network measures to research goals. The mathematics behind the measures is explained, as well as how to use the measures in a research context. UCINET for Windows software is used extensively. Starting May 20, the course meets Monday through Thursday, from 10am-12:00pm ET and 12:30pm-2:30pm ET each day. The course is closely tied to the book Analyzing Social Networks, 3rd edition, by Borgatti, Everett, Johnson and Agneessens (2024). The cost is $1800 ($900 for students). More details ... Track 3. Intermediate Social Network Analysis (R) - May 20 - May 24, 2024 Taught by Filip Agneessens. 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 specialized R packages, such as igraph, sna and xUCINET, rather than Windows UCINET. Basic familiarity with R is helpful but not required. The mathematics behind the measures is explained, as well as how to use the measures in practice. The course is designed to be accompanied by the book Analyzing Social Networks Using R by Borgatti, Everett, Johnson and Agneessens (2022). The course meets from Monday May 20 to Friday May 24. The first four days (20-23 May) consisting of two sessions: 9:30-11:45am ET and 12:30-2:15pm ET, followed by an exercise session from 2:30-3:00pm. On Friday morning May 24, we meet from 9:30 to 11:45am ET. Participants will receive homework, which includes running analyses and interpreting results. The course costs $1800 ($900 for students). More details ... Track 4. Stochastic Models of Networks - May 27 - May 31, 2024 Taught by 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. The course is supported by a series of video lectures. There will be time to discuss your specific research questions, data concerns, and interpretation of your model. The course costs $1800 ($900 for students). More details ... Registration To register, visit https://gatton.uky.edu/links-2024-workshop-registration For more information Visit the workshop website: https://www.linksworkshop.org/ Steve Stephen P. Borgatti Carol Martin Gatton Chair of Management Gatton College of Business and Economics University of Kentucky

Hi all. I've got a dataset with 195 nodes and 1,084 directional, non-valued edges. When I run the Structural Equivalence function in UCINET (Roles & Positions > Structural Equivalence > Profile), no output is generated and UCINET unexpectantly quits on me. Has this happened to anyone else? Any ideas on what I might be doing wrong or how to fix it? I'm happy to share the dataset if that's helpful. Note, I can successfully perform other UCINET functions on the dataset and I can perform the the Structural Equivalence function on other datasets. I just can't get the function to work on this dataset. Any insight or help would be appreciated. Thanks! Best, Steve

Hi all, the LINKS Center for Social Network Analysis at the University of Kentucky is offering a set of four online workshops starting May 20. Each workshop meets for 3 to 5 days for about four hours a day (not including optional extra sessions in some of the workshops). There is also access to a limited number of non-technical one-on-one consultations with experienced research faculty to discuss your individual project(s). The workshops and dates are shown below. Registration is now open! The website for the workshops is https://www.linksworkshop.org/ To go directly to registration, visit https://gatton.uky.edu/links-2024-workshop-registration Workshops Track 1. Introduction to Social Network Analysis - May 20 - May 22, 2024 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 May 20th, it meets Monday, Tuesday, through Wednesday from 9:30am-11:30am ET (New York time) and 12:30pm-2:30pm ET (12 contact hours) and provides homework assignments and access to a TA. The course costs $1500 ($750 for students). More details ... Track 2. Intermediate Social Network Analysis (UCINET) - May 20 - May 23, 2024 Taught by Steve Borgatti, this is a more technical and in-depth workshop focusing on the concepts and methods of SNA, with particular emphasis on relating network measures to research goals. The mathematics behind the measures is explained, as well as how to use the measures in a research context. UCINET for Windows software is used extensively. Starting May 20, the course meets Monday through Thursday, from 10am-12:00pm ET and 12:30pm-2:30pm ET each day. The course is closely tied to the book Analyzing Social Networks, 3rd edition, by Borgatti, Everett, Johnson and Agneessens (2024). The cost is $1800 ($900 for students). More details ... Track 3. Intermediate Social Network Analysis (R) - May 20 - May 24, 2024 Taught by Filip Agneessens. 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 specialized R packages, such as igraph, sna and xUCINET, rather than Windows UCINET. Basic familiarity with R is helpful but not required. The mathematics behind the measures is explained, as well as how to use the measures in practice. The course is designed to be accompanied by the book Analyzing Social Networks Using R by Borgatti, Everett, Johnson and Agneessens (2022). The course meets from Monday May 20 to Friday May 24. The first four days (20-23 May) consisting of two sessions: 9:30-11:45am ET and 12:30-2:15pm ET, followed by an exercise session from 2:30-3:00pm. On Friday morning May 24, we meet from 9:30 to 11:45am ET. Participants will receive homework, which includes running analyses and interpreting results. The course costs $1800 ($900 for students). More details ... Track 4. Stochastic Models of Networks - May 27 - May 31, 2024 Taught by 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. The course is supported by a series of video lectures. There will be time to discuss your specific research questions, data concerns, and interpretation of your model. The course costs $1800 ($900 for students). More details ... Registration To register, visit https://gatton.uky.edu/links-2024-workshop-registration For more information Visit the workshop website: https://www.linksworkshop.org/ Steve Stephen P. Borgatti Carol Martin Gatton Chair of Management Gatton College of Business and Economics University of Kentucky

Hi all, the LINKS Center for Social Network Analysis at the University of Kentucky offers a collection of workshops on social network analysis (SNA) every summer. This year we are offering four synchronous online workshops, conducted over Zoom. Each workshop meets for 3 to 5 days for about four hours a day (not including optional extra sessions in some of the workshops). There is also access to a limited number of non-technical one-on-one consultations with experienced research faculty to discuss your individual project(s). The workshops and dates are shown below. Track 1. Introduction to Social Network Analysis - May 20 - May 22, 2024 (9:30-11:30am and 12:30-2:30pm, ET) 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 May 20th, it meets Monday, Tuesday, through Wednesday from 9:30am-11:30am ET (New York time) and 12:30pm-2:30pm ET (12 contact hours) and provides homework assignments and access to a TA. The course costs $1500 ($750 for students). More details ... Track 2. Intermediate Social Network Analysis (UCINET) - May 20 - May 23, 2024 Taught by Steve Borgatti, this is a more technical and in-depth workshop focusing on the concepts and methods of SNA, with particular emphasis on relating network measures to research goals. The mathematics behind the measures is explained, as well as how to use the measures in a research context. UCINET for Windows software is used extensively. Starting May 20, the course meets Monday through Thursday, from 10am-12:00pm ET and 12:30pm-2:30pm ET each day. The course is closely tied to the book Analyzing Social Networks, 3rd edition, by Borgatti, Everett, Johnson and Agneessens (2024). The cost is $1800 ($900 for students). More details ... Track 3. Intermediate Social Network Analysis (R) - May 20 - May 24, 2024 (9:30-11:45am; 12:30-2:15pm; and 2:30-3:00pm ET on May 20-23 / 9:30-11:45am ET on Friday May 24) Taught by Filip Agneessens. 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 specialized R packages, such as igraph, sna and xUCINET, rather than Windows UCINET. Basic familiarity with R is helpful but not required. The mathematics behind the measures is explained, as well as how to use the measures in practice. The course is designed to be accompanied by the book Analyzing Social Networks Using R by Borgatti, Everett, Johnson and Agneessens (2022). The course meets from Monday May 20 to Friday May 24. The first four days (20-23 May) consisting of two sessions: 9:30-11:45am ET and 12:30-2:15pm ET, followed by an exercise session from 2:30-3:00pm. On Friday morning May 24, we meet from 9:30 to 11:45am ET. Participants will receive homework, which includes running analyses and interpreting results. The course costs $1800 ($900 for students). More details ... Track 4. Stochastic Models of Networks - May 27 - May 31, 2024 (10:00am-12:00; 12:45-2:45 ET) Taught by 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. The course is supported by a series of video lectures. There will be time to discuss your specific research questions, data concerns, and interpretation of your model. The course costs $1800 ($900 for students). More details ... steve Stephen P. Borgatti Carol Martin Gatton Chair of Management Gatton College of Business and Economics University of Kentucky

Hello, I'm getting started as a new UCINET user. Whenever I open the matrix editor and try to open the ##h file, I get the following error message: "Unable to open file SCRATCH. ##D for INPUT." Does any of you know how to solve this problem? Many thanks in advance! Best, Lilla Királyfy, PhD student at Free University of Berlin

I am a student using UCINET VI (Version 6.776 for Windows), and I'm having issues doing N-clique and kplex analysis with my class social network data. When I do Network > Communities/Subgroups > N-cliques, nothing happens and no tab opens allowing me to specify the n-value. Also, when I do Network > Communities/Subgroups > K-plexes, the three dots don't work (so I can't select a file and instead had to manually type in the name of my file). When I click OK, I just got a confusing matrix with 28 rows and 79 columns and nothing else. There's nothing that says the number of 2k-plexes in the network. I'd greatly appreciate some help troubleshooting these!

Dear Group I started collecting journal articles in the mid 1980'S, and have an extensive collection of paper copies, many are now digitized, but if anyone would like copies to mark up, etc. I would be happy to send. Just sending out an inquiry before I shred! thanks, Maryann -- Maryann Durland PhD mdurland@... Elkins WV 630-650-9944

Hello all, I am a PhD student currently working on understanding how co-authorship network centralities influence an author's publication count. My question is: Can I utilize the node-level regression model in UCINET to perform this analysis? Given that for variables involving count data, we often opt for Poisson regression or Negative Binomial Regression, would it still be appropriate to employ node-level regression models if the dependent variable is count data in the context of my research? I'd really appreciate any insights or guidance on this matter. Thank you in advance for your time and assistance! Best. Shimi

Hello, I’m a student and I was wondering how UCINET calculates the average Distance between Nodes. More specifically I’m curious as to how it handles nodes without a path between them. According to the documentation it has something to do with Geodesic Distance Matrices, but I couldn’t get any further on my own. So: How does UNICERT calculate average distance in a dataset containing multiple separate networks? and What is a Geodesic Distance Matrice? are the Questions I’m left with. Thank you for your help. Kind regards, Bastien Chevallier

Hi all, this is to announce a set of online workshops offered this June by the University of Kentucky’s LINKS Center for Social Network Analysis. The website for the 2023 workshops is www.linksworkshop.org. Introduction The LINKS Center for Social Network Analysis at the University of Kentucky offers a series of workshops on social network analysis (SNA) every summer, usually in June. This year we are offering four synchronous online workshops (conducted over Zoom). Each workshop meets for 3 to 5 days for about four hours a day (not including optional extra sessions in some of the workshops). The workshops and dates are shown below. In addition, workshop participants will have access to a limited number of non-technical one-on-one consultations with experienced research faculty to discuss your individual project(s). Track 1. Introduction to Social Network Analysis - May 31 - June 2, 2023 (9:30-11:30am and 12:30-2:30pm, ET) 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 May 31st, it meets Wednesday, Thursday, and Friday from 9:30am-11:30am ET (New York time) and 12:30pm-2:30pm ET 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 5-9, 2023 (10:00am-12:00pm and 12:45-2:45pm, ET) Taught by Steve Borgatti, this is a more technical and in-depth workshop focusing on the concepts and methods of SNA, with particular emphasis on relating network measures to research goals. The mathematics behind the measures is explained, as well as how to use the measures in a research context. UCINET for Windows software is used extensively. Although we don’t use R in this workshop, the course is closely tied to the book Analyzing Social Networks Using R by Borgatti, Everett, Johnson and Agneessens (2022). The course meets Monday through Friday June 5-9 in two daily sessions 10:00am-12:00pm ET and 12:45pm-2:45pm ET. The fifth day is led by the TAs. The course costs $1800 ($900 for students). More details ... Track 3. Intermediate Social Network Analysis (R) - June 5-9, 2023 (10:00am-12:00pm and 12:45-2:45pm, ET) 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 R package xUCINET, rather than Windows UCINET. Basic familiarity with R is helpful but not required. The mathematics behind the measures is explained, as well as how to use the measures in practice. The course meets five times starting June 5 with each instructional day consisting of two sessions: 10:00am-12:15pm ET and 12:45pm-3:00pm ET. Participants will receive homework, which includes running analyses and interpreting results, which they can do in small groups of 2 or 3. These results are then discussed at the next meeting. The course is closely tied to the book Analyzing Social Networks Using R by Borgatti, Everett, Johnson and Agneessens (2022). The course costs $1800 ($900 for students). More details ... Track 4. Stochastic Models of Networks - June 12-16, 2023 (10:00am-12:00pm; 12:45-2:45pm; and 3:30-5pm, ET) Taught by 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. 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 done in small groups of 2 or 3. These results are then discussed at the next meeti