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Network Topology Inference

  • Eric D. Kolaczyk
Chapter
Part of the Springer Series in Statistics book series (SSS)

In contrast to the previous chapter, with its focus on modeling and inference of observed network graphs, in this chapter we consider the problem of network topology inference, wherein the graph or some portion thereof is unobserved and we wish to infer it from measurements. There are a number of variations on this problem; we examine three particular forms in some depth.

Keywords

Partial Correlation Association Network Multicast Tree Network Graph Link Prediction 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag New York 2009

Authors and Affiliations

  1. 1.Dept. Mathematics & StatisticsBoston UniversityBostonUSA

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