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» Discovering communities in complex networks
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WSC
2000
13 years 9 months ago
Parallel execution of a sequential network simulator
Parallel discrete event simulation (PDES) techniques have not yet made a substantial impact on the network simulation community because of the need to recast the simulation models...
Kevin G. Jones, Samir Ranjan Das
BMCBI
2010
100views more  BMCBI 2010»
13 years 5 months ago
New insights into protein-protein interaction data lead to increased estimates of the S. cerevisiae interactome size
Background: As protein interactions mediate most cellular mechanisms, protein-protein interaction networks are essential in the study of cellular processes. Consequently, several ...
Laure Sambourg, Nicolas Thierry-Mieg
CIKM
2008
Springer
13 years 10 months ago
Classifying networked entities with modularity kernels
Statistical machine learning techniques for data classification usually assume that all entities are i.i.d. (independent and identically distributed). However, real-world entities...
Dell Zhang, Robert Mao
ASUNAM
2009
IEEE
14 years 2 months ago
Social Network Discovery Based on Sensitivity Analysis
—This paper presents a novel methodology for social network discovery based on the sensitivity coefficients of importance metrics, namely the Markov centrality of a node, a metr...
Tarik Crnovrsanin, Carlos D. Correa, Kwan-Liu Ma
WAW
2009
Springer
138views Algorithms» more  WAW 2009»
14 years 2 months ago
Information Theoretic Comparison of Stochastic Graph Models: Some Experiments
The Modularity-Q measure of community structure is known to falsely ascribe community structure to random graphs, at least when it is naively applied. Although Q is motivated by a ...
Kevin J. Lang