Inferring the Underlying Structure of Information Cascades

@article{Zong2012InferringTU,
  title={Inferring the Underlying Structure of Information Cascades},
  author={Bo Zong and Yinghui Wu and Ambuj K. Singh and Xifeng Yan},
  journal={2012 IEEE 12th International Conference on Data Mining},
  year={2012},
  pages={1218-1223}
}
In social networks, information and influence diffuse among users as cascades. While the importance of studying cascades has been recognized in various applications, it is difficult to observe the complete structure of cascades in practice. In this paper we study the cascade inference problem following the independent cascade model, and provide a full treatment from complexity to algorithms: (a) we propose the idea of consistent trees as the inferred structures for cascades, these trees connect… CONTINUE READING

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References

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Showing 1-10 of 25 references

Inferring the underlying structure of information cascades

B. Zong, Y. Wu, A. K. Singh, X. Yan
arXiv preprint arXiv:1210.3587, • 2012
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Diffusive Logistic Model Towards Predicting Information Diffusion in Online Social Networks

2012 32nd International Conference on Distributed Computing Systems Workshops • 2012
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