Links
and hops
Lada Adamic, Hewlett-Packard Laboratories
Palo Alto, California
www.hpl.hp.com/personal/Lada_Adamic
Albert-László Barabási, University of Notre Dame
Notre Dame, Indiana
www.nd.edu/~alb
Shlomo Havlin, Bar-Ilan University
Ramat Gan, Israel
ory.ph.biu.ac.il/~havlin
Jon Kleinberg, Cornell University
Ithaca, New York
www.cs.cornell.edu/home/kleinber
Alessandro Vespignani, Abdus Salam International Centre for Theoretical
Physics
Trieste, Italy
www.ictp.trieste.it/~alexv
Duncan J. Watts, Columbia University
New York, New York
www.sociology.columbia.edu/people/professors/djw24/index.html
Content
Gary William Flake, Yahoo! Research Labs
Pasadena, California
labs.yahoo.com/~flakeg
C. Lee Giles, Pennsylvania State University
University Park
clgiles.ist.psu.edu
Filippo Menczer, University of Iowa
Iowa City, Iowa
dollar.biz.uiowa.edu/~fil
Comparisons
Uri Alon, Weizmann Institute of Science
Rehovot, Israel
www.weizmann.ac.il/mcb/UriAlon
Hawoong Jeong, Korea Advanced Institute of Science and Technology
Daejeon, Korea
physics.kaist.ac.kr/english/hawoong_jeong.htm
Mark Newman, Santa Fe Institute
Santa Fe, New Mexico
www.santafe.edu/~mark
What to Look For
Search and Browsing:
Crawling and ranking methods that correlate text and links
Custom search engines that leverage link structure
Peer-to-peer searching methods that tap link structure
Searching methods that leverage small-world structure
Content filtering that taps link structure
Discoveries about how people use link structure cues
Optimization:
Traffic flow optimization that leverages link structure
Detailed Internet simulations for optimization
Distributed caching schemes that leverage user clusters
Fault Tolerance:
Network design methods that tap link structure
Improved ways of estimating the impacts of node failure
Internet immunization strategies that leverage link structure
Detailed Internet simulations that better identify weak spots
Analysis and Theory:
Measures of link competition within communities
Improved analysis of Web clustering
Scientific classification of networks
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