Topic-driven multi-type citation network analysis

@inproceedings{Yang2010TopicdrivenMC,
  title={Topic-driven multi-type citation network analysis},
  author={Zaihan Yang and Liangjie Hong and Brian D. Davison},
  booktitle={RIAO},
  year={2010}
}
In every scientific field, automated citation analysis enables the estimation of importance or reputation of publications and authors. [] Key Method We present in this paper a novel integrated probabilistic model which combines a content-based approach with a multi-type citation network which integrates citations among papers, authors, affiliations and publishing venues in a single model.

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