San Francisco / New York / Lyngby / Berlin / Espoo / Copenhagen / London / L.A. / Chicago / /
Company
Studying Complex Systems / Scale-Free Networks / IMDb / Oxford University Press / Princeton University Press / Intel / Netflix / /
Country
United States / Finland / Denmark / /
Currency
pence / /
Facility
Dana-Farber Cancer Institute / Northeastern University / Helsinki University of Technology / International Computer Science Institute / IT University of Copenhagen / Technical University of Denmark / Massachusetts Institute of Technology / Harvard University / /
IndustryTerm
large real world networks / mathematical tools / paper network / bipartite community detection algorithm / distinct bipartite networks / cond-mat network / song-listener network / large complex networks / scientific collaboration network / e-print / biclique detection tool / final network / movie-recommendation network / homogeneous networks / affiliation networks / dense networks / artistic collaboration networks / word-document network / dense network / k-clique community detection algorithm / condmat network / bipartite network / given network / bipartite biological networks / itemset miner / biclique community detection algorithm / sparse real world networks / biological networks / k-clique algorithm / biclique algorithm / human disease network / interconnected network / real networks / network cond−mat network / bipartite networks / social networks / detection algorithm / sparse networks / real world networks / metabolic network / movie-actor network / large sparse networks / internet movie database / /
Movie
Threshold / /
MusicGroup
M. E. / /
Organization
Technical University of Denmark / Danish Natural Science Research Council / National Science Foundation / Danish Technical Research Council / International Computer Science Institute / Northeastern University / Boston / Princeton University / U.S. Office / Massachusetts Institute of Technology / Department of Physics / James S. McDonnell Foundation / U.S. Securities and Exchange Commission / Dana-Farber Cancer Institute / Helsinki University of Technology / National Office for Research and Technology / Oxford University / Harvard University / Boston / University of Copenhagen / Center for Complex Network Research / /
Person
Lars Kai / Stanley P. Gopikrishnan V / W. Thatcher / Nat / /
Position
author / dark red indicating author / itemset miner / /
ProvinceOrState
New York / Massachusetts / /
PublishedMedium
Lecture Notes in Computer Science / /
Technology
RAM / ALGORITHMIC COMPLEXITY The algorithm / biclique algorithm / LCM algorithm / biclique community detection algorithm / 2 Duo processor / http / Data Mining / k-clique algorithm / k-clique community detection algorithm / detection algorithm / bipartite community detection algorithm / /
PHYSICAL REVIEW E 78, 016108 共2008兲 Biclique communities Sune Lehmann,1,2,3 Martin Schwartz,3,4 and Lars Kai Hansen3 1