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Abstract Publication repositories contain an abundance of information about the of scientific research areas. We address the problem of creating a of a research area that describes the flow of topics between, quantifies the impact that papers have on each other, and helps to key contributions. To this end, we devise a probabilistic topic model explains the generation of documents; the model incorporates the aspects topical innovation and topical inheritance via citations. We evaluate the 's ability to predict the strength of influence of citations against rated citations.
Dietz et al. (Wed,) studied this question.
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