[4eyes] FW: [faculty] MAT 595M TODAY: John O'Donovan, UCSB CS - The WiGis project

[John O'Donovan]

Hi All,
Most Four Eyes lab folks have heard a lot of this talk already.  Your all
welcome to attend anyway if you wish.

5:30 PM, HFH 1132

cheers
-John



 *From:* faculty-bounces at mat.ucsb.edu [mailto:faculty-bounces at mat.ucsb.edu]
*On Behalf Of *Stephen Travis Pope
*Sent:* Monday, January 25, 2010 10:11 AM
*To:* Students Students; MAT Faculty
*Subject:* [faculty] MAT 595M TODAY: John O'Donovan, UCSB CS - The WiGis
project




 MAT/CS 595M Seminar

Monday 1/25

5:30 PM, HFH 1132



John O'Donovan, UCSB CS - The WiGis project



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.



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 Amazon.com or reputation
modeling on eBay, for example.



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.
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.



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.



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.    I
hope to conclude the talk with your questions and input on possible
improvements to, and applications of the WiGis framework.



More information and demos available at: http://www.wigis.net



Speaker Bio



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.         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.



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.       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.



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.         John’s recent submission
to IEEE SocialCom ‘09 received two best-paper nominations.            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.



--

    Stephen Travis Pope

    Graduate Program in Media Arts and Technology

    University of California, Santa Barbara

    http://www.mat.ucsb.edu/~stp <http://www.mat.ucsb.edu/%7Estp>







-- 
John O'Donovan
Department of Computer Science
University of California, Santa Barbara, CA 93106-5110

email: jod at cs.ucsb.edu
phone: (805)451-9342
web: www.johnodonovan.net
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