Latent Community Topic Analysis: Integration of Community Discovery with Topic Modeling

@article{Yin2012LatentCT,
  title={Latent Community Topic Analysis: Integration of Community Discovery with Topic Modeling},
  author={Zhijun Yin and Liangliang Cao and Quanquan Gu and Jiawei Han},
  journal={ACM TIST},
  year={2012},
  volume={3},
  pages={63:1-63:21}
}
This article studies the problem of latent community topic analysis in text-associated graphs. With the development of social media, a lot of user-generated content is available with user networks. Along with rich information in networks, user graphs can be extended with text information associated with nodes. Topic modeling is a classic problem in text mining and it is interesting to discover the latent topics in text-associated graphs. Different from traditional topic modeling methods… CONTINUE READING
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