Tweet Ranking Based on Heterogeneous Networks

@inproceedings{Huang2012TweetRB,
  title={Tweet Ranking Based on Heterogeneous Networks},
  author={Hongzhao Huang and Arkaitz Zubiaga and Heng Ji and Hongbo Deng and Dong Wang and Hieu Khac Le and Tarek F. Abdelzaher and Jiawei Han and Alice Leung and John P. Hancock and Clare R. Voss},
  booktitle={COLING},
  year={2012}
}
Ranking tweets is a fundamental task to make it easier to distill the vast amounts of information shared by users. In this paper, we explore the novel idea of ranking tweets on a topic using heterogeneous networks. We construct heterogeneous networks by harnessing cross-genre linkages between tweets and semantically-related web documents from formal genres, and inferring implicit links between tweets and users. To rank tweets effectively by capturing the semantics and importance of different… CONTINUE READING
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