*****  To join INSNA, visit  *****


Apologies for repeating this announcement - this version corrects an
important error.


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
<> .  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


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


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, introduction to R, working
with various SNA packages 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, 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 Joe Labianca, Jeff Johnson, 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: or use the
shorter <>  .






Stephen P. Borgatti

Paul Chellgren Chair & Professor of Management

LINKS Center for Social Network Analysis

Gatton College of Business and Economics

University of Kentucky 

SOCNET is a service of INSNA, the professional association for social
network researchers ( To unsubscribe, send
an email message to [log in to unmask] containing the line
UNSUBSCRIBE SOCNET in the body of the message.