Dynamic Egocentric Models for Citation Networks

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Summary

A dynamic egocentric framework that models continuous-time network data using multivariate counting processes is introduced and an efficient partial likelihood approach is used, allowing the methods to scale to large networks.

Type
article
Published
2011-06-28
Cited by
79
References
29

Keywords

Interpretability, Computer science, Granularity, Inference, Focus (optics)

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