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We hope to see you at the ORA Workshop at Sunbelt

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] <mailto:[log in to unmask]>

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

Kenneth Joseph (Carnegie Mellon University), [log in to unmask]
<mailto:[log in to unmask]>

*Group Website:*www.casos.cs.cmu.edu <http://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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