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Given that there has been a few threads about spatial visualization of networks and social media analysis over the past few months, several Socnetters might be interested in the *ORA tutorial that will be given at Sunbelt. There is a strong focus on spatial networks and importing and analyzing Twitter data.  See below for details:

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Dynamic Network Analysis (DNA) and *ORA

Session Time: Tuesday April 5th, 8:00am – 2:30pm

Workshop Length: 2 sessions (6 hours)

Instructors:

Kathleen M. Carley (Carnegie Mellon University), [log in to unmask]

L. Richard Carley (Carnegie Mellon University), [log in to unmask]

Kenneth Joseph (Carnegie Mellon University), [log in to unmask]

Group Website: www.casos.cs.cmu.edu

 

Topics Include:

· Social Network Analysis

· Comparing and contrasting networks

· Multi-mode, multi-link, high dimensional network metrics

· Networks with positive and negative ties

· Placing networks on maps, geo-network analytics

· Analyzing Twitter data

· *ORA software for Data management, Visualization, General, temporal and geo-spatial, metrics, Grouping algorithms, Reporting

 

Overview

A lecture and hands-on workshop in which attendees learn about Dynamic Network Analysis (DNA) and the DNA toolkit *ORA. Foundational concepts and techniques of Dynamic Network Analysis are presented including: assessing meta-network data, geo-spatial enabled network analysis, and changes in networks over time. Attention will be focused on spatio-temporal visualization, grouping technologies, key entity identification, dynamic networks, and network change. Participants will be presented with a thorough demonstration of software features used to create a sample network and analyze it using traditional and advanced DNA techniques. Basic social network and dynamic network representations, statistics, analysis and visualization techniques are covered, both in concept and practical operation.

 

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 full-day session begins with an overview of ORA, and techniques for entering, visualizing, and analyzing social and meta-network data. Special features for handling node attributes are presented. The early session provides an introduction to the basic network capabilities; whereas, the later session covers more advanced topics – for example, key node identification, clustering, spatio-temporal analytics and visualization, twitter analytic, and semantic networks are all covered. Relatively unique features of *ORA covered in the tutorial include trail and network visualization, fuzzy grouping algorithms, multi-mode network assessment, JSON and CSV importers, specialized twitter analytics, two mode metrics, and powerful visualizer with data entry and mark-up capabilities.

 

Who Should Attend?

Those who are interested in assessing social media data, networks derived from texts, groups, organizations or communities using sets of interconnected multi-mode or multi-link networks and/or sets of networks across time and/or space and who want to learn how to use existing software tools and techniques to analyze such meta-network data, should attend this full-day workshop. The material and its delivery is suitable for researchers and practitioners, alike. 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.

 

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