Models for Network Graphs

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

In this chapter, we turn to the topic of modeling network graphs. We introduce a number of important classes of network graph models, and we illustrate some of the various statistical uses to which these models have been put, including the detection of network motifs, the evaluation of proposed network generative mechanisms, and the assessment of potential predictive factors of relational ties.


Markov Chain Monte Carlo Random Graph Degree Distribution Preferential Attachment Network Graph 
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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