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» Discovering communities in complex networks
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WSC
2000
15 years 7 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»
15 years 3 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
15 years 8 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
16 years 1 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»
16 years 23 days 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