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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:


*Dynamic Network Analysis (DNA) and *ORA*

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

*Workshop Length: *2 sessions (6 hours)


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:*

*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


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

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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