Institute for Software Research
School of Computer Science, Carnegie Mellon University


ORA User's Guide 2022

Neal Altman, Kathleen M. Carley

June 2022


Center for the Computational Analysis of Social and Organization Systems
CASOS Technical Report

This report supersedes ISR Technical Report
CMU-ISR-20-110: ORA User's Guide 2020 (July 2020)

Keywords: DNA, ORA, Dynamic Network Analysis, Me ta-network, Network Science, Network Visualization, Social Network Analysis

ii Abstract ORA is a tool for network analysis, network visualization, and network forecasting. Entities and relationships are represented using meta-networks. By employing meta-networks ORA can handle multi-mode, multi-plex, multi-level networks. It can identify key players, groups and vulnerabilities, model network changes over time, and perform COA analysis. It contains hundreds of social network metrics, dynamic network metrics, and trail metrics, as well as procedures for grouping nodes, identifying local patterns, comparing and contrasting networks, groups, and individuals from a dynamic meta-network perspective. ORA generates formatted reports viewable on screen or in files and reads and writes networks in multiple data formats interoperable with existing network analysis packages. In addition, it has tools for graphically visualizing meta-network data and for optimizing a network's design structure. ORA uses a Java interface for ease of use and a C++ computational back end.

This report provides an overview of important ORA features and key concepts, along with resources for new users to learn how to use ORA.

30 pages

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