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» On Structural Analysis of Large Networks
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SIGMOD
2011
ACM
241views Database» more  SIGMOD 2011»
12 years 11 months ago
Neighborhood based fast graph search in large networks
Complex social and information network search becomes important with a variety of applications. In the core of these applications, lies a common and critical problem: Given a labe...
Arijit Khan, Nan Li, Xifeng Yan, Ziyu Guan, Supriy...
BMCBI
2008
145views more  BMCBI 2008»
13 years 9 months ago
Directed acyclic graph kernels for structural RNA analysis
Background: Recent discoveries of a large variety of important roles for non-coding RNAs (ncRNAs) have been reported by numerous researchers. In order to analyze ncRNAs by kernel ...
Kengo Sato, Toutai Mituyama, Kiyoshi Asai, Yasubum...
CORR
2010
Springer
124views Education» more  CORR 2010»
13 years 9 months ago
Component Evolution in General Random Intersection Graphs
Abstract. Random intersection graphs (RIGs) are an important random structure with algorithmic applications in social networks, epidemic networks, blog readership, and wireless sen...
Milan Bradonjic, Aric A. Hagberg, Nicolas W. Henga...
GLOBECOM
2006
IEEE
14 years 2 months ago
Performance Model for a Lossless Edge Node of OBS Networks
In this paper, the performance model for a lossless OBS edge node is built with respect to the queueing performance of the transmission buffer. In contrast to the shaping effect...
Guoqiang Hu
JMLR
2010
157views more  JMLR 2010»
13 years 7 months ago
Kronecker Graphs: An Approach to Modeling Networks
How can we generate realistic networks? In addition, how can we do so with a mathematically tractable model that allows for rigorous analysis of network properties? Real networks ...
Jure Leskovec, Deepayan Chakrabarti, Jon M. Kleinb...