Dynamic Network Analysis (DNA) and ORA

Juergen Pfeffer & Kathleen M. Carley
Carnegie Mellon University

LIMITED to 30 Seats

A lecture and hands-on workshop in which attendees learn about Dynamic Network Analysis (DNA) and the DNA toolkit ORA. Basic social network and dynamic network representations, statistics, analysis and visualization techniques are covered, both in concept and practical operation. Foundational concepts and techniques of Dynamic Network Analysis are presented including:

  • Importing meta-network data from various sources (e.g., database, Social Media)
  • Handling multiplex networks over time for multiple node classes including various node and link attributes
  • Identification and reporting of key entities and groups using SNA and DNA metrics
  • Accomplishing geo-spatial enabled network analysis and visualization
  • Analyzing change of evolving networks over time
  • Visualizing static and dynamic networks as well as geo-spatial networks

This full day session begins with an overview of ORA, and techniques for entering, visualizing, and analyzing social and meta-network data. How to identify key entities and groups analytically and visually is then covered. Then we turn to how to assess networks over time and spatially. Spatial network metrics, trail and geo-spatial visualization are highlighted. This workshop will be fast-paced and involves advanced material, however novices to network analysis should be able to follow along, as the material is presented in an affable, but comprehensive manner. This is designed to be a non-technical workshop, however, by its very nature the material will involve some mathematics, although this will be minimized as the delivery is driven towards forming an understanding of the concepts, not mastery of the details. The material and its delivery are suitable for researchers and practitioners, alike.

The workshop focusses on ORA, which is a powerful network analysis tool, capable of handling large networks, and supporting meta-network data, geo-spatial network data, and dynamic network data. Relatively unique features include handling of thousands of networks over time, trail and network visualization, fuzzy grouping algorithms, multi-mode network assessment, built in network simulators, and powerful visualizer with data entry and mark-up capabilities. Participants will be provided with a data CD containing the complete set of software, sample data, and a user’s guide, and will be guided through its installation and subsequent hands-on usage.

Computer Equipment: The software presented in this tutorial is Windows operating system (32/64 bit) based. Participants with windows emulators should pre-load and test the ORA software from the CASOS website ‘ http://www.casos.cs.cmu.edu/projects/ora/. Participants should bring their own laptops to the workshop. Nevertheless, participants not able to bring a Windows-based laptop computer to the sessions are welcome to participate, and will still fully benefit from the workshop. The software will be screen-projected to the group as a live walk-through demonstration.