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» Cluster Characterization through a Representativity Measure
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INFOCOM
2010
IEEE
13 years 7 months ago
Walking in Facebook: A Case Study of Unbiased Sampling of OSNs
With more than 250 million active users, Facebook (FB) is currently one of the most important online social networks. Our goal in this paper is to obtain a representative (unbiased...
Minas Gjoka, Maciej Kurant, Carter T. Butts, Athin...
BMCBI
2005
113views more  BMCBI 2005»
13 years 7 months ago
Systematic survey reveals general applicability of "guilt-by-association" within gene coexpression networks
Background: Biological processes are carried out by coordinated modules of interacting molecules. As clustering methods demonstrate that genes with similar expression display incr...
Cecily J. Wolfe, Isaac S. Kohane, Atul J. Butte
BMCBI
2010
153views more  BMCBI 2010»
13 years 7 months ago
Analysis of substructural variation in families of enzymatic proteins with applications to protein function prediction
Background: Structural variations caused by a wide range of physico-chemical and biological sources directly influence the function of a protein. For enzymatic proteins, the struc...
Drew H. Bryant, Mark Moll, Brian Y. Chen, Viachesl...
JCC
2008
105views more  JCC 2008»
13 years 7 months ago
Retrieval of spectral and dynamic properties from two-dimensional infrared pump-probe experiments
Abstract: We have developed a fitting algorithm able to extract spectral and dynamic properties of a three level oscillator from a two-dimensional infrared spectrum (2D-IR) detecte...
Riccardo Chelli, Victor V. Volkov, Roberto Righini
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
14 years 7 months ago
Web usage mining based on probabilistic latent semantic analysis
The primary goal of Web usage mining is the discovery of patterns in the navigational behavior of Web users. Standard approaches, such as clustering of user sessions and discoveri...
Xin Jin, Yanzan Zhou, Bamshad Mobasher