We introduce the graphlet decomposition of a weighted network, which encodes a notion of social information based on social structure. We develop a scalable algorithm, which combi...
Recently, a parametric State Reward Markov Model SRMM p has been developed for the reliability and availability analysis of self-healing SONET mesh networks 2 . In this paper, w...
In a society in which information is one of the highest-valued commodities, information networks are the economic backbone. Therefore, network vulnerability is a major hazard. Ana...
David E. Newman, Nathaniel D. Sizemore, Vickie E. ...
Background: The combination of genotypic and genome-wide expression data arising from segregating populations offers an unprecedented opportunity to model and dissect complex phen...
Modeling and estimation of switching activities remain to be important problems in low-power design and fault analysis. A probabilistic Bayesian Network based switching model can ...