text-only page produced automatically by LIFT Text Transcoder Skip all navigation and go to page contentSkip top navigation and go to directorate navigationSkip top navigation and go to page navigation
National Science Foundation Home National Science Foundation - Biological Sciences (BIO)
 
Biological Sciences (BIO)
design element
BIO Home
About BIO
Funding Opportunities
Awards
News
Events
Discoveries
Publications
Advisory Committee
Career Opportunities
Supplements & Other Opportunities
See Additional BIO Resources
View BIO Staff
BIO Organizations
Biological Infrastructure (DBI)
Environmental Biology (DEB)
Emerging Frontiers (EF)
Integrative Organismal Systems (IOS)
Molecular and Cellular Biosciences (MCB)
Proposals and Awards
Proposal and Award Policies and Procedures Guide
  Introduction
Proposal Preparation and Submission
bullet Grant Proposal Guide
  bullet Grants.gov Application Guide
Award and Administration
bullet Award and Administration Guide
Award Conditions
Other Types of Proposals
Merit Review
NSF Outreach
Policy Office
Additional BIO Resources
FY 2009 BIO Budget Excerpts
National Ecological Observatory Network (NEON)
Funding Opportunities for Neuroscience
Supplements & Other Opportunities
Research Opportunities in Microbial Biology
Merit Review Broader Impacts Criterion: Representative Activities
BIO Reports
Merit Review
Image Credits
Other Site Features
Special Reports
Research Overviews
Multimedia Gallery
Classroom Resources
NSF-Wide Investments


Event
Emerging Issues at the Intersection of Social and Technological Networks

Jon Kleinberg

Wed Sep 24 14:00:00 EDT 2008  to 
Wed Sep 24 15:00:00 EDT 2008
110

CISE Distinguished Lecture

Wednesday, September 24th 2008, Room 110, 2:00pm - 3:00 p.m.

 

"Emerging Issues at the Intersection of Social and Technological Networks"

 

Jon Kleinberg, Ph.D.

 Cornell University

 

§§§

Abstract:

The growth of on-line information systems supporting rich forms of social interaction has made it possible to study social network data at unprecedented levels of scale and temporal resolution.  This offers an opportunity to address questions at the interface between computing and the social sciences, where algorithmic styles of thinking can help in formulating models of social processes and in managing complex networks as datasets.

 

We consider two lines of research within this general theme.  The first is concerned with modeling the flow of information through a large network: the spread of new ideas, technologies, opinions, fads, and rumors can be viewed as unfolding with the dynamics of epidemic, cascading from one individual to another through the network.  This suggests a basis for models of such phenomena, as well as new kinds of open questions.

 

The second line of research we consider is concerned with the privacy implications of large network datasets.  An increasing amount of social network research focuses on datasets obtained by measuring the interactions among individuals who have strong expectations of privacy.  To preserve privacy in such instances, the datasets are typically anonymized -- the names are replaced with meaningless unique identifiers, so that the network structure is maintained while private information has been suppressed.  Unfortunately, there are fundamental limitations on the power of network anonymization to preserve privacy; we will discuss some of these limitations and some of their broader implications.

 

This talk is based on joint work with Lars Backstrom, Cynthia Dwork, and David Liben-Nowell.

§§§

Bio: Jon Kleinberg

Jon Kleinberg is a Professor in the Department of Computer Science at Cornell University. His research focuses on issues at the interface of networks and information, with an emphasis on the social and information networks that underpin the Web and other on-line media.

He is a member of the National Academy of Engineering and the American Academy of Arts and Sciences, and the recipient of MacArthur, Packard, and Sloan Foundation Fellowships, the Nevanlinna Prize from the International Mathematical Union, and the National Academy of Sciences Award for Initiatives in Research.

 

*For individual meeting time please contact Iesha McGhee at x8241

 

 

 

 

This event is part of Distinguished Lecture Series.

Meeting Type
Lecture

Contacts
Iesha L. McGhee, (703) 292-8241 imcghee@nsf.gov

NSF Related Organizations
National Science Foundation
Division of Information & Intelligent Systems

 



Print this page
Back to Top of page
  Web Policies and Important Links | Privacy | FOIA | Help | Contact NSF | Contact Webmaster | SiteMap  
National Science Foundation Biological Sciences (BIO)
The National Science Foundation, 4201 Wilson Boulevard, Arlington, Virginia 22230, USA
Tel:  (703) 292-5111, FIRS: (800) 877-8339 | TDD: (800) 281-8749
Last Updated:
September 12, 2008
Text Only


Last Updated: September 12, 2008