Detecting Community Kernels in Large Social Networks

@article{Wang2011DetectingCK,
  title={Detecting Community Kernels in Large Social Networks},
  author={Liaoruo Wang and Tiancheng Lou and Jie Tang and John E. Hopcroft},
  journal={2011 IEEE 11th International Conference on Data Mining},
  year={2011},
  pages={784-793}
}
In many social networks, there exist two types of users that exhibit different influence and different behavior. For instance, statistics have shown that less than 1% of the Twitter users (e.g. entertainers, politicians, writers) produce 50% of its content, while the others (e.g. fans, followers, readers) have much less influence and completely different social behavior. In this paper, we define and explore a novel problem called community kernel detection in order to uncover the hidden… CONTINUE READING
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