wiki:Sunbelt2014

2014 INSNA Sunbelt Conference statnet Workshop Page

WELCOME to social network analysis with R and statnet! On this page, you will find all the information you need to prepare for this year's Sunbelt workshops. Please check this site periodically for updates and announcements. If you have additional questions, please email us at statnet_help.

The sections below cover the following topics:

Workshop Sessions

This year we are offering eight workshops. They are loosely organized into two sequences (Introduction to network modeling in statnet, and Dynamic network modeling in statnet), with some additional advanced topics:

Sequence Tue 2/18/14, 08:00AM-11:00AM Tue 2/18/14, 03:00PM-06:00PM Wed 2/19/14, 08:00AM-11:00AM
Introductory Sequence An Introduction to Network Analysis with R and statnet
Acton & Jasny
Location: Jasmine
Moving Beyond Descriptives: Basic Network Statistics with statnet
Instructor: Jasny & Acton
Location: Citrus
Exponential-family Random Graph Modeling with statnet
Instructor: Hunter & Butts
Location: Sawgrass
Dynamic modeling sequence STERGM - Separable Temporal ERGMs for Modeling Discrete Relational Dynamics
Instructor: Hunter & Goodreau
Location: Sabel
Network Dynamic Temporal Visualization (ndtv): a package of R tools for visualizing dynamic networks
Instructor: Bender-deMoll & Morris
Location: Indian Key
Network Modeling of Infectious Disease and Social Diffusion Processes with EpiModel
Instructor: Jenness & Morris
Location: Jasmine
Additional Workshops Modeling Relational Event Dynamics with statnet
Instructor: Butts & Marcum
Location: Banyan
Latent Variable Models With Latentnet
Instructor: Krivitsky, Goodreau & Hunter
Location: Bird Key

Workshop Assistants: Kirk Li (UW), Yue Yu, Ben Gibson, Emma Smith, Xuhong Zhang and Sean Fitzhugh (UCI)

(Last updated: 02/9/14)


Announcements and Updates

  • For the workshops, you will need the latest versions of the statnet packages from CRAN.
    • If you have not installed statnet before, please see the Installation instruction page.
    • If you have installed statnet packages before, you should either perform a fresh install or update.
    • Make sure you have the package(s) needed for your workshop (these are listed in the Workshop materials below)
  • The statnet workshops are designed as hands-on labs, and are best experienced interactively using your own laptop and software installation. If you would like to simply listen and try out the exercises later, that is fine too -- however, we do ask that attendees who plan on using their laptops during the workshop install the required software before the workshop begins.
  • Some workshops may also require supplemental data files, which are included in the Workshop materials below (and should be downloaded prior to the workshop).
  • Workshop slides and handouts will be posted here before the workshop; downloading and printing is optional, but may make it easier to follow along on your own.
  • Workshop participants with problems or questions regarding software installation prior to the workshop should email Sam Jenness or Emma Smith for Mac-related questions, Ben Gibson for Windows, and Yue Yu for Linux.

Prerequisites

Although the workshop sessions may be taken independently by those having prior experience with R and statnet, we strongly recommend the following prerequisites:

An Introduction to Network Analysis with R and statnet
Prerequisites: None
Moving Beyond Descriptives: Basic Network Statistics with statnet
Prerequisites: An Introduction to Network Analysis with R and statnet
Exponential-family Random Graph Modeling with statnet
Prerequisites: Moving Beyond Descriptives: Basic Network Statistics with statnet
STERGM - Separable Temporal ERGMs for Modeling Discrete Relational Dynamics with statnet
Prerequisites: Exponential-family Random Graph Modeling with statnet
Network Dynamic Temporal Visualization (ndtv): a package of R tools for visualizing dynamic networks
Prerequisites: STERGM - Separable Temporal ERGMs for Modeling Discrete Relational Dynamics
Network Modeling of Infectious Disease and Social Diffusion Processes with EpiModel
Prerequisites: STERGM - Separable Temporal ERGMs for Modeling Discrete Relational Dynamics
Modeling Relational Event Dynamics with statnet
Prerequisites: An Introduction to Network Analysis with R and statnet (or prior experience with R)
Latent Variable Models With Latentnet
Prerequisites: An Introduction to Network Analysis with R and statnet (or prior experience with R)

Workshop materials from last year (if taught) can be found here on the statnet wiki.


Workshop Materials

Workshop materials will be posted here as they are completed, for the convenience of session attendees.

  • Packages required lists the statnet packages you'll need
  • Electronic Handouts contain the tutorial for the workshop. It's handy to have an electronic copy of this during the workshop to cut and paste commands into R as we go along.
  • Slides, if present contain supplemental learning materials.
  • Data Files, if present are the supplemental data files needed for a workshop.

Attendees should download all the files needed for their respective workshop sessions and save them in a convenient spot. This section will be updated regularly.

An Introduction to Network Analysis with R and statnet

Moving Beyond Descriptives: Basic Network Statistics with statnet

Exponential-family Random Graph Modeling with statnet

STERGM - Separable Temporal ERGMs for Modeling Discrete Relational Dynamics

  • Packages required: tergm (dependencies loaded automatically)
  • Electronic handouts: HTML PDF
  • R code: R file

Network Dynamic Temporal Visualization (ndtv)

  • Data Files:

Network Modeling of Infectious Disease and Social Diffusion Processes with EpiModel

Modeling Relational Event Dynamics with statnet

Latent Variable Models With Latentnet

  • Packages required: latentnet (dependencies loaded automatically)
  • Electronic handouts:
  • Slides:
  • Data Files:

Installing statnet

Please follow the instructions on the statnet Installation page for downloading the latest version of R, statnet and its related libraries

Last modified 3 years ago Last modified on 03/04/14 09:14:13

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