News

Recent installs of ucinet missing files

posted May 16, 2017, 4:53 PM by Steve Borgatti

Recent installs of UCINET were missing files needed by Netdraw. That's fixed now. 

Potential bug

posted Apr 27, 2017, 6:25 AM by Steve Borgatti   [ updated Apr 27, 2017, 10:41 AM ]

Some users are reporting intermittent nonsense results from Tools|Testing Hypotheses|Node-level|Regression. Version 6.629 has just been posted, which hopefully fixes the problem.

1-week LINKS Center workshop

posted Apr 8, 2017, 7:10 AM by Steve Borgatti

The LINKS Center at the University of Kentucky is offering its annual 1-week summer workshop on social network analysis again this June 12-16, 2017 on the University of Kentucky campus. Registration opens March 31st and closes May 15th. To sign up, visit www.linksworkshop.org. Students pay half-price.

This is our workshop’s 10th anniversary and we are celebrating by packing it with a number of new offerings, including Ron Burt on networks and organizations, Brea Perry on egocentric network analysis, and a host of new mini-modules.

The workshop features LINKS Center resident faculty Steve Borgatti, Dan Brass, Joe Ferrare, Eric Gladstone, Dan Halgin, Joe Labianca, Ajay Mehra, Andy Pilny and Scott Soltis, as well as guest instructors Filip Agneessens, Ron Burt, Rich DeJordy, Jeff Johnson, David Krackhardt, Brea Perry, Eric Quintane and Tom Valente. In addition, all of the sessions are assisted by a cadre of students and recent graduates in order to ensure that participants are able to obtain personalized attention. We encourage participants to bring their own data and work with our 20+ instructors and TAs to analyze the data.

The workshop features five major, concurrent tracks for the first four days, followed by three choices of area-specific sessions (education, health, organizations) on the final day. At the end of each day, we also offer multiple 1.5 hour short modules on specialized topics, as well as a data lab for analyzing your own data. Finally, we offer a number of 45-minute 1-on-1 consultations with LINKS Center faculty to discuss your research.

MAJOR TRACKS (4 days each; Monday-Thursday)

Introduction to Social Network Analysis. Led by Dan Halgin and Dan Brass (U. of Kentucky). Includes a theoretical and empirical overview of the field, followed by a comprehensive survey of the concepts and methods of social network analysis, including data collection, data management, centrality, social capital, cohesion, and hypothesis testing. In addition, participants participate in lab sessions to learn how to use network analysis software, including UCINET and NetDraw.

Introduction to Analyzing Social Network Data. Led by Rich DeJordy (Northeastern) with special guest David Krackhardt (Carnegie Mellon). A more software- and data-oriented version of Introduction to SNA that covers most of the same concepts as Intro but focuses more on using the software and devotes a bit more time to interpreting the equations & formulas that define many network concepts. Includes lab sessions in which participants work through analysis exercises using the UCINET and NetDraw software. In this session, participants are encouraged to use their own data in the exercises.

Intermediate Network Analysis. Led by Steve Borgatti (U. of Kentucky). For people interested in both a deeper and broader look at network concepts and methods. Topics include advanced centrality methods, measuring network change, analyzing negative ties, working with multiple relations, and integrating node attributes with network measures. This module also introduces participants to UCINET's command-line and batch processing capabilities.

Egocentric Network Analysis. Led by Brea Perry (Indiana U). An in-depth tutorial on collecting and analyzing personal networks. The course begins with an introduction to the foundational concepts of egocentric SNA, and moves on to research design considerations and data collection techniques. The rest of the course explains how to use standard statistical software to analyze egocentric network data.

Stochastic Network Models. Led by Filip Agneessens (U. of Surrey). This course provides an introduction to exponential random graph models (ERGMs) and stochastic actor-based models for network dynamics (as implemented in rSIENA). The course will focus on hands-on use of MPNet and rSiena and on the interpretation of output. An introduction to the R analysis language (needed for RSiena) will also be provided during the workshop.

AREA-SPECIFIC TRACKS (1 day each; Friday)

Networks and Education. Led by Joe Ferrare (U. of Kentucky). Applying the social network perspective to education research and policy.

Networks and Health. Led by Tom Valente (USC). Social network theory and method in the context of understanding health-related behaviors, interventions and disease epidemiology.

Networks and Organizations. Led by Ron Burt (Chicago). The session covers the latest research on networks and organizations.

MINI-MODULES (1.5 hours each, Monday-Thursday after 4pm)

The mini-modules are short sessions on specialized topics. Some focus on research design topics, others on using specialized software, and still others on handling particular kinds of data. Past offerings have included: managing your IRB, managing your research site, using igraph and rSiena in R, handling archival data, working with cognitive social structure data, working with 2-mode data, analyzing negative ties, egocentric data analysis, scaling of 1- and 2-mode data, intro to ERGM, visualizing network data, dos and don’ts for publishing network research, network experiments, writing network simulations, and more.

In addition, each day we offer a data lab where people can bring their data and have someone experienced with the software help them with the analysis.

1-ON-1 CONSULTATIONS (45-minute slots available Tuesday-Friday)

We provide opportunities for participants to discuss their research in depth with Jeff Johnson, Joe Labianca, Ajay Mehra, and Scott Soltis.

Please note that the largest modules are capped at about 55 participants, so you might want to register soon after registration opens (March 31). Registration closes May 15. For more information, please visit the workshop website: https://sites.google.com/site/linkscenterworkshopsna/ or use the shorter www.linksworkshop.org.

2-day UCINET workshop

posted Jan 16, 2017, 3:06 PM by Steve Borgatti

Steve Borgatti will offer a 2-day workshop on social network analysis 

Sponsored by Statistical Horizons

Friday, April 28, 2017 9:00 AM –
Saturday, April 29, 2017 5:00 PM (Eastern Time)

Temple University Center City
1515 Market St.
Philadelphia, Pennsylvania 19102
United States
View Map

CONTACT

Phone: 610-642-1941
Fax: 419-818-1220.
Email: info@statisticalhorizons.com

COSTS

The fee of $995 includes all course materials. The early registration fee of $895 is available until March 28.
Group discount rates are available for this course. All inquiries can be sent to info@statisticalhorizons.com.
Our Tax ID number is 26-4576270

REGISTER NOW

For more information, check out the site:

http://statisticalhorizons.com/seminars/public-seminars/social-network-analysis-2

UCINET-oriented workshop June 1-5

posted Apr 2, 2015, 3:11 PM by Steve Borgatti

The LINKS Center at the University of Kentucky is offering its annual 1-week summer workshop on social network analysis June 1-5, 2015 on the University of Kentucky campus. To sign up, visit http://www.linksworkshop.org. Students pay half-price. Registration opens March 30th.

The workshop features LINKS Center faculty Steve Borgatti, Dan Brass, Wally Ferrier, Eric Gladstone, Dan Halgin, Joe Labianca, Ajay Mehra, and Scott Soltis, as well as guest instructors Filip Agneessens, Alan Daly, Rich DeJordy, Joe Ferrare, Jeff Johnson, and Tom Valente. In addition, all of the sessions are assisted by a cadre of students and recent graduates in order to ensure personalized attention.

The workshop features four major, concurrent tracks for the first four days, followed by three choices of area-specific sessions on the final day. At the end of each day, we also offer multiple short modules on specialized topics, as well as a data lab for analyzing your own data. Finally, we offer a number of 45-minute consultations with LINKS Center faculty to discuss your research. 

MAJOR TRACKS (4 days each; Monday-Thursday) 


Introduction to Social Network Analysis. Led by Dan Halgin and Dan Brass (U. of Kentucky). Includes a theoretical and empirical overview of the field, followed by a comprehensive survey of the concepts and methods of social network analysis, including data collection, data management, centrality, social capital, cohesion, and hypothesis testing. In addition, participants participate in lab sessions to learn how to use network analysis software, including UCINET and NetDraw. 

Analyzing Social Network Data. Led by Rich DeJordy (Northeastern). A more software- and data-oriented version of Introduction to SNA that covers most of the same topics as Intro but focuses more on using the software and devotes a bit more time to interpreting the equations & formulas that define many network concepts. Includes lab sessions in which participants work through analysis exercises using the UCINET and NetDraw software. 

Advanced Network Analysis. Led by Steve Borgatti (U. of Kentucky). For people interested in both a deeper and broader look at network concepts and methods. Topics include advanced centrality methods, measuring network change, advanced approaches to 2-mode data, analyzing negative ties, working with multiple relations, and integrating node attributes with network measures. This module also introduces participants to UCINET’s command-line facility and batch processing of files. 

Stochastic Network Models. Led by Filip Agneessens (U. of Surrey). This course provides an introduction to exponential random graph models (ERGMs) and stochastic actor-based models for network dynamics (as implemented in SIENA). The course will focus on hands-on use of MPNet and RSiena and on the interpretation of output. An introduction to the R analysis language (needed for RSiena) will also be provided during the workshop.

AREA-SPECIFIC TRACKS (1 day each; Friday) 


Networks and Education. Led by Alan Daly (UC San Diego) and Joe Ferrare (U. of Kentucky). Applying the social network perspective to education research and policy. 

Networks and Health. Led by Tom Valente (USC). Social network theory and method in the context of understanding health-related behaviors, interventions and disease epidemiology. 

Networks and Management. A set of presentations by the LINKS Center faculty surveying network research in various areas within the field of management, including leadership, innovation, and competitive dynamics


MINI-MODULES (1.5 hours each, Monday-Thursday after 4pm) 


The mini-modules are short sessions on specialized topics. Some focus on research design topics, others on using specialized software, and still others on handling particular kinds of data. Past offerings have included: managing your IRB, managing your research site, introduction to SNA with R, working with cognitive social structure data, working with 2-mode data, analyzing negative ties, and many more. 

In addition, each day we offer a data lab where people can bring their data and have someone experienced with the software help them to load it and do some analyses.  

1-ON-1 CONSULTATIONS (45-minute slots available Tuesday-Thursday) 


Make appointment to discuss your research in depth with Joe Labianca, Jeff Johnson, Ajay Mehra, or Scott Soltis. 

------------------------------------------------------------------------------ 
Please note that sessions are capped at about 55 participants, so you might want to register soon after registration opens (March 30). Registration closes May 15.  

For more information, please visit the workshop website: https://sites.google.com/site/linkscenterworkshopsna/ 

Missing help file

posted Dec 3, 2014, 6:10 PM by Steve Borgatti

Recent version of the UCINET installation package were missing the help file -- ucinet.chm. That's been fixed. But if you don't want to reinstall UCINET just for that one file, you can download the help file directly:
It's a zip file. Once it has been downloaded, extract the ucinet.chm file and copy it to the folder where uci6.exe resides. Normally, this is something like C:\Program Files (x86)\Analytic Technologies.

New installation procedure

posted Nov 1, 2014, 12:27 PM by Steve Borgatti

Starting Nov 1, 2014 (UCINET version 6.531), we are using DeployMaster instead of InstallAware to install UCINET. This has an unfortunate consequence, which is that the new installer won't know how to uninstall old versions of UCINET. So if you have previously installed UCINET and want to install 6.531, please manually uninstall the old version first. You can do this by going to start|programs|analytic technologies and clicking on Uninstall Ucinet, or by using the Windows control panel feature Manage Programs and Features to uninstall ucinet. 

Installation issues with mtxvec

posted Jun 21, 2014, 9:54 AM by Steve Borgatti   [ updated Jun 23, 2014, 10:34 AM ]

Starting June 19th (2014) we've had a few issues with installing ucinet, due to a third party product that is currently being integrated with UCINET. We believe this is fixed now (as of June 21). 

Issues with Avast

posted Mar 29, 2014, 12:33 PM by Steve Borgatti   [ updated May 27, 2014, 10:04 AM ]

In March, 2014, some users reported that their Avast anti-virus software was treating UCINET as malware. Don't yet know why -- other virus checkers are not having a problem. 

Changes in file locations

posted Dec 29, 2013, 7:22 AM by Steve Borgatti   [ updated Jan 5, 2014, 2:12 PM ]

Dropbox recently "banned" the public folder we were using to distribute Analytic Technologies materials. Messages to users said we had exceeded bandwidth regulations. But on further inquiry, Dropbox said it was because we were "hosting malware". So as a first step we have deleted all files from the Dropbox location and started the process of finding new homes for main files. More on the way. If there is something you are missing, please send an email to steve at analytictech.com. 

Interestingly, many users in recent years had reported that their Norton anti-malware software was flagging the ucinet setup file stored on Dropbox as malware. But when we would send the user the same file via other means (e.g., YouSendIt), Norton had no problems. We don't know what the deal is. We know there are a few news reports about Dropbox having problems with hackers using Dropbox accounts to spread malware. Maybe when Norton sees an installation file like ucinetsetup.exe on a Dropbox public folder, it becomes automatically suspicious and warns the user.

In any case, we will have to move away from using Dropbox to distribute AnalyticTech materials. Inconvenient, but one benefit is that it will make things easier for Chinese users. Most mainland Chinese have been unable to access Dropbox files since 2010. (Ironically, though, it is apparently Chinese hackers that have been abusing Dropbox. This is like the plot of an opera.)

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