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.
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© 2009 Springer-Verlag New York
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Kolaczyk, E.D. (2009). Models for Network Graphs. In: Statistical Analysis of Network Data. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-0-387-88146-1_6
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DOI: https://doi.org/10.1007/978-0-387-88146-1_6
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Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-88145-4
Online ISBN: 978-0-387-88146-1
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