COVID-19 UPDATE: The safety of our students and staff is our top priority. Therefore, Stats Camp will be holding seminars online via live interactive zoom discussion groups. Our goal is to expand on the interactivity side and provide one-on-one consulting time via virtual breakout rooms. We are offering a discount code to a future camp worth $200 off and we are offering 1-hour of post camp consultation as an added value. Registrations will be accepted up to 12 hours prior to seminar start date and time. All seminars will be conducted in CDT time and will be recorded. The recordings will be made available to you within 3-5 business days of the live recording date. Access will be granted to the recorded videos for 1 year from the date of the seminar. Have questions? Contact us

Introduction to Social Network Analysis using R and Rsiena Seminar

Session 1: June 1 – 5, 2020
Albuquerque, NM – Embassy Suites


FAQVenue Info – Hotel Booking
$1,895 Faculty/Professional or $1,145 Student/Post-Doc

Payment Options

Seminar fee includes all materials, downloads, software access, training, refreshments and access to a recorded video of seminar:

Enrollment is open to public, students, graduates and professionals. Save a seat today, pay later.

Statistics Seminar Objectives

The five-day training institute on Social Network Analysis will enable participants to:

  • Develop a theoretical and practical understanding of social networks and the sophisticated software packages used to analyze them
  • Get hands-on practice using R to visualize and model cross-sectional and longitudinal social network data

Seminar Syllabus

Summer Stats Camp 2020: Social Network Analysis
MondayJune 1, 2020
9:00 – 9:30Welcome and Introductions
9:30 – 10:45Traditional vs. Social Network Data
10:45 – 11:00Snack and Refreshment Break
11:00 – 12:30Introduction to R
12:30 – 1:30Lunch Break
1:30 – 3:15Lab demonstration: using R
3:15 – 3:30Snack and Refreshment Break
3:30 – 5:00Lab exercises
5:30~7:30ishSocial “hour” for all Stats Campers
Tuesday June 2, 2020
9:00 – 10:45Social network statistics – from individual to network characteristics
10:45 – 11:00Snack and Refreshment Break
11:00 – 12:30Network visualization
12:30 – 1:30Lunch Break
1:30 – 3:15Lab demonstration: matrices, network objects, basic linear models
3:15 – 3:30Snack and Refreshment Break
3:30 – 5:00Lab exercises
WednesdayJune 3, 2020
9:00 – 10:45ERG models for cross-sectional data
10:45 – 11:00Snack and Refreshment Break
11:00 – 12:30ERG model-building and interpretation
12:30 – 1:30Lunch Break
1:30 – 3:15Lab demonstration: ERG model diagnostics
3:15 – 3:30Snack and Refreshment Break
3:30 – 5:00Lab exercises
ThursdayJune 4, 2020
9:00 – 10:45SIENA models for longitudinal data
10:45 – 11:00Snack and Refreshment Break
11:00 – 12:30SIENA model selection and parameter interpretation
12:30 – 1:30Lunch Break
1:30 – 3:15Lab demonstration: evaluating model fit and troubleshooting in SIENA
3:15 – 3:30Snack and Refreshment Break
3:30 – 5:00Lab exercises
FridayJune 5, 2020
9:00 – 10:45SIENA models of selection and influence
10:45 – 11:00Snack and Refreshment Break
11:00 – 12:30Advanced topics in social network analysis
12:30 – 1:30Lunch Break
1:30 – ~3:30Individual Consultations

Why Should You Attend?

  • Get 1 on 1 Consultation With Instructor
  • Professional Networking
  • Peer Socializing
  • Collaboration
  • All Seminar Resources
  • Breakfast (Embassy guests), Lunches, & Snacks Daily

Statistical Methods Seminar Description

Overview: This summer institute is designed primarily for researchers who are interested in conducting social network research, particularly those who are embarking upon it for the first time.

Morning sessions will consist primarily of lectures and class discussions. Afternoon sessions will be dedicated to lab demonstrations and activities designed to help participants become users of social network methods and software. Participants are not required but encouraged to bring their own complete network data. The Friday afternoon session will be reserved for consulting on individual projects.

Survey a variety of approaches to collecting and analyzing network data at single and multiple points in time using R software. Topics include basic statistics and visualization, network regression/QAP, exponential random graph models (ERGMs), and stochastic actor-oriented models (RSiena).  The workshop will consist of a mixture of classroom teaching and hands-on computer work. As such, this is a great introduction to R for anyone!  Network data will be provided for the lab activities and participants will conduct some type of analysis every day. This is an applied seminar that will take you from novice to proficient in 5 days!

Instructors: Leslie Echols, Ph.D. & Michael D. Siciliano, Ph.D.

Leslie is an Assistant Professor in the Department of Psychology at Missouri State University. She holds a Ph.D. in education with a specialization in human development and psychology from University of California, Los Angeles.  She also hold a M.S. in education from City University of New York.  She is a former elementary education teacher and currently studies peer relations in the school context.  Specifically, much of her research investigates the role of school ethnic composition and scheduling practices on friendship and victimization among classmates and other peers.

Michael is an Associate Professor in the Department of Public Administration at the University of Illinois at Chicago (UIC). He holds a Ph.D. in public policy and public administration from the University of Pittsburgh and a master’s in public policy analysis from Carnegie Mellon University. Michael’s work investigates the factors influencing network formation as well as the effect of social structure on individual and collective behavior, decision-making, and performance. Michael has taught network analysis training seminars and workshops for the Public Management Research Association, the Midwest Association for Public Opinion Research (MAPOR), the Science of Team Science Conference, the Center for Disaster Management at the University of Pittsburgh, and the Center for Clinical and Translational Science at UIC.

Software and Computer Support
Seminar Audience

This summer institute is designed primarily for researchers who are interested in conducting social network research, particularly those who are embarking upon it for the first time.  The seminar will provide information on data collection and visualization, and will focus on the use of exponential random graph models (ERGMs; cross-sectional network analysis) and stochastic actor-oriented models (Siena, longitudinal network analysis) with in the R programming environment. R novices are welcome!

Seminar Files

Below are links to seminar files for those who enrolled in the seminar. Please download these files onto your computer before the first day of the seminar. The files are password protected to respect the intellectual property rights of the instructors. By using your login information you agree not to share your login information or the content protected by it.

Instructor will provide password on first day of seminar:
Click Here to Access Introduction to Social Network Analysis using R and RSiena

Statistical Methods Training for Social Network Analysis