|Talks|

Collective Graph Identification

Past Talk
Lise Getoor
Professor, Computer Science Department at the University of California, Santa Cruz
Apr 12, 2016
4:00 pm
Apr 12, 2016
4:00 pm
In-person
4 Thomas More St
London E1W 1YW, UK
The Roux Institute
Room
100 Fore Street
Portland, ME 04101
Network Science Institute
2nd floor
Network Science Institute
11th floor
177 Huntington Ave
Boston, MA 02115
Network Science Institute
2nd floor
Room
58 St Katharine's Way
London E1W 1LP, UK

Talk recording

Graph data (e.g., communication data, financial transaction networks, data describing biological systems, collaboration networks, the Web, etc.) is ubiquitous. While this observational data is useful, it is usually noisy, often only partially observed, and only hints at the actual underlying social, scientific or technological structures that give rise to the interactions. For example, an email communication network provides useful insight, but is not the same as the “real” social network among individuals. In this talk, I introduce the problem of graph identification, i.e., the discovery of the true graph structure underlying an observed network.  

About the speaker
Lise's research areas include machine learning, data integration and reasoning under uncertainty, with an emphasis on graph and network data.
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Apr 12, 2016