Hi All,<br>Most Four Eyes lab folks have heard a lot of this talk already. Your all welcome to attend anyway if you wish.<br><br>5:30 PM, HFH 1132<br><br>cheers<br>-John<br><br><br><br><div class="gmail_quote"><div link="blue" vlink="purple" style="word-wrap: break-word;" lang="EN-US">
<div><div>
<div style="border-style: solid none none; border-color: rgb(181, 196, 223) -moz-use-text-color -moz-use-text-color; border-width: 1pt medium medium; padding: 3pt 0in 0in;">
<p class="MsoNormal"><b><span style="font-size: 10pt;">From:</span></b><span style="font-size: 10pt;">
<a href="mailto:faculty-bounces@mat.ucsb.edu" target="_blank">faculty-bounces@mat.ucsb.edu</a> [mailto:<a href="mailto:faculty-bounces@mat.ucsb.edu" target="_blank">faculty-bounces@mat.ucsb.edu</a>] <b>On Behalf
Of </b>Stephen Travis Pope<br>
<b>Sent:</b> Monday, January 25, 2010 10:11 AM<br>
<b>To:</b> Students Students; MAT Faculty<br>
<b>Subject:</b> [faculty] MAT 595M TODAY: John O'Donovan, UCSB CS - The WiGis
project</span></p>
</div>
</div>
<p class="MsoNormal"> </p>
<div>
<p class="MsoNormal"><br></p>
</div>
<div>
<p class="MsoNormal">MAT/CS 595M Seminar </p>
</div>
<div>
<p class="MsoNormal">Monday 1/25</p>
</div>
<div>
<p class="MsoNormal">5:30 PM, HFH 1132</p>
</div>
<div>
<p class="MsoNormal"> </p>
</div>
<div>
<p class="MsoNormal">John O'Donovan, UCSB CS - The WiGis project</p>
</div>
<div>
<p class="MsoNormal"> </p>
</div>
<div>
<p class="MsoNormal">The abundance of network data available on social web sites
such as Facebook highlights a need for more dynamic and scalable visualization
architectures, capable of meeting data-exploration requirements for a broad
variety of users with different browsing devices and computational resources.</p>
</div>
<div>
<p class="MsoNormal"> </p>
</div>
<div>
<p class="MsoNormal">We believe that interactive network visualizations can be
applied to more complex tasks than simple data-exploration, in that they can be
used to guide, control, and/or enhance openness and trust in complex network
based processes such as product recommendation on <a href="http://Amazon.com" target="_blank">Amazon.com</a>
or reputation modeling on eBay, for example.</p>
</div>
<div>
<p class="MsoNormal"> </p>
</div>
<div>
<p class="MsoNormal">To enable the application of interactive network
visualizations to the above problems we require a visualization framework which
is interactive, scalable, and easily accessible over the web, preferably in a
single-click.<span> </span>However, traditional network
visualization tools are largely desktop-based, have poor interaction support
and inherently suffer from scalability problems, especially when deployed over
the web.</p>
</div>
<div>
<p class="MsoNormal"> </p>
</div>
<div>
<p class="MsoNormal">In this talk I will firstly introduce WiGis –a novel
framework for Web-based Interactive Graph Visualizations, and then I will
discuss ways in which the framework has been applied to solve a range of
visualization problems, with specific focus on visual item recommendation based
on live Facebook data, and the increased transparency and trust generated by
the visual components.</p>
</div>
<div>
<p class="MsoNormal"> </p>
</div>
<div>
<p class="MsoNormal">I will explain how WiGis exemplify the first fully web-based
framework for visualizing large- scale graphs natively in a user's browser at
interactive frame rates, and provide a live demonstration of interactive graph
animations for up to hundreds of thousands of nodes in a browser through a
novel use of asynchronous data and image transfer. I will describe some
comparative experiments in which our system outperforms traditional web-based
graph visualization tools by at least an order of magnitude in terms of
scalability, while maintaining fast, high-quality interactions.<span> </span>I hope to conclude the talk with your questions
and input on possible improvements to, and applications of the WiGis framework.</p>
</div>
<div>
<p class="MsoNormal"> </p>
</div>
<div>
<p class="MsoNormal">More information and demos available at: <a href="http://www.wigis.net" target="_blank">http://www.wigis.net</a></p>
</div>
<div>
<p class="MsoNormal"> </p>
</div>
<div>
<p class="MsoNormal">Speaker Bio</p>
</div>
<div>
<p class="MsoNormal"> </p>
</div>
<div>
<p class="MsoNormal">John O’Donovan is post doctoral researcher at the Department
of Computer Science, University of California, Santa Barbara. John received his
PhD from the National University of Ireland (UCD) for his thesis entitled
“Trust in the Social Web, Applications in Recommender Systems and Online
Auctions” , advised by Prof. Barry Smyth.<span> </span>This
work was nominated for the 2008 national doctoral dissertation award and is
widely cited by the AI community. John also holds Masters and Bachelors (Hons.)
degrees in Computer Science from UCD. During his PhD he spent one year at the
Viterbi School of Engineering, University of Southern California in Los
Angeles.</p>
</div>
<div>
<p class="MsoNormal"> </p>
</div>
<div>
<p class="MsoNormal">John’s research background is in Artificial Intelligence,
with a specific focus on trust networks within social web applications and
other platforms for user-provided content. Like many other areas of study
relating to the web, ideas from various disciplines are combined in his work. These
include, but are not limited to: data mining, user modeling, network
visualization, personalization and natural language processing.<span> </span>His current work at UCSB focuses on network
visualizations for the social web, specifically in ways they can be applied to
recommendation and reputation systems.</p>
</div>
<div>
<p class="MsoNormal"> </p>
</div>
<div>
<p class="MsoNormal">John has had many collaborative colleagues and has
co-authored over 20 international conference and journal papers, including a
recent book chapter on Social Computing, published by Springer.<span> </span>John’s recent submission to IEEE SocialCom
‘09 received two best-paper nominations.<span> </span>John
has served on program committees and has reviewed for fifteen conferences and
journals, and he is a member of IEEE, AIAI, ECCAI and ACM.</p>
</div>
<div>
<p class="MsoNormal"> </p>
</div>
<div>
<div>
<div>
<div>
<div>
<div>
<p class="MsoNormal"><span><span style="font-size: 11.5pt; font-family: "Lucida Bright","serif"; color: black;">--</span></span><span style="font-family: "Lucida Bright","serif"; color: black;"></span></p>
</div>
<div>
<p class="MsoNormal"><span style="font-size: 8.5pt; font-family: "Lucida Bright","serif"; color: black;"> Stephen Travis Pope</span></p>
</div>
<div>
<p class="MsoNormal"><span style="font-size: 8.5pt; font-family: "Lucida Bright","serif"; color: black;"> Graduate Program in Media Arts and Technology</span></p>
</div>
<div>
<p class="MsoNormal"><span style="font-size: 8.5pt; font-family: "Lucida Bright","serif"; color: black;"> University of California, Santa
Barbara</span></p>
</div>
<div>
<p class="MsoNormal"><span style="font-size: 8.5pt; font-family: "Lucida Bright","serif"; color: black;"> <a href="http://www.mat.ucsb.edu/%7Estp" target="_blank">http://www.mat.ucsb.edu/~stp</a></span></p>
</div>
</div>
</div>
</div>
</div>
<p class="MsoNormal"><span><span style="font-size: 11.5pt; font-family: "Lucida Bright","serif"; color: black;"> </span></span><span style="font-size: 13.5pt; font-family: "Lucida Bright","serif"; color: black;"><img src="cid:image001.png@01CA9DC0.EBA43790" width="39" border="0" height="37"><span> </span></span></p>
</div>
<p class="MsoNormal"> </p>
</div>
</div>
</div><br><br clear="all"><br>-- <br>John O'Donovan<br>Department of Computer Science<br>University of California, Santa Barbara, CA 93106-5110<br><br>email: <a href="mailto:jod@cs.ucsb.edu">jod@cs.ucsb.edu</a><br>phone: (805)451-9342<br>
web: <a href="http://www.johnodonovan.net">www.johnodonovan.net</a> <br>