[4eyes] Fwd: MAT Seminar TOMORROW | Tuesday, April 10 | Nathalie Riche | Novel Visualizations and Interactions for Social Networks Exploration

Tobias Hollerer holl at cs.ucsb.edu
Mon Apr 9 09:21:40 PDT 2012



-------- Original Message --------
Subject: 	[faculty] MAT Seminar TOMORROW | Tuesday, April 10 | Nathalie 
Riche | Novel Visualizations and Interactions for Social Networks 
Exploration
Date: 	Mon, 9 Apr 2012 07:39:45 -0700
From: 	S,?len K. DiCicco <solenk at gmail.com>
To: 	student list <students at mat.ucsb.edu>, faculty at mat.ucsb.edu, 
mat-announce at mat.ucsb.edu, greta at cs.ucsb.edu
CC: 	Marisa Ortega <marisa at mat.ucsb.edu>



*Please note that this event will take place at ESB 1001.*
*
*


      *Title:*Novel Visualizations and Interactions for Social Networks
      Exploration


*Date:* Tuesday, April 10

*Speaker: *Nathalie Riche, Researcher, Microsoft

*Time:* 5:30 - 7:00 pm*
*

*Location: ESB 1001*****

*URL:* http://www.mat.ucsb.edu/595M/?p=846

*
*
*
MAT SEMINAR #2, SPRING 2012

*


        Abstract


        Collecting data to understand how people communicate,
        collaborate, what information they exchange, what role they play
        in social groups has been tremendously simplified with the
        popularity of online networking systems such as Friendster,
        LinkedIn, or Facebook. Compared to data collected through polls
        and interviews, collected networks require less processing as
        they are directly stored digitally and open new opportunities
        for social scientists as they are far larger and often contain
        much richer information. However, this avalanche of data raises
        new challenges for their analysis: tools need to support a very
        large amount of data often evolving through time.

        As human brain is particularly effective at processing visual
        information, researchers in computer science developed a number
        of visual exploration system to analyze graphs and networks. In
        the last five years, an increasing part of the research in
        information visualization focused on graph visualization,
        tackling the problem from novel angles. Our research focused on
        alternative representations to node-link diagrams, supporting
        the analysis of denser networks as well as novel interaction
        techniques to scale to larger datasets. In this talk, I will
        present an overview of these novel visual exploration systems.


        Bio

Nathalie is a researcher at Microsoft Research since december 2008. Her 
interests lie in the visual exploration of graphs and networks,
visualization of groups, interactive graph navigation techniques and 
evaluation methods for information visualization. She completed her Ph.D 
on the visual exploration of social networks in 2008, supervised by Pr. 
Jean-Daniel Fekete in France and Pr. Peter Eades in Australia.

Exciting projects she is involved in at MSR include the visualization of 
heterogeneous networks (multiple types of nodes and edges), 
the visualization of networks evolving over time, and taking advantage 
of natural user interactions (sketch, natural language) to create 
and interact with visualizations.

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