Adequacy of Data for Mining Individual Friendship Pattern from Cellular Phone Call Logs

@article{Dong2009AdequacyOD,
  title={Adequacy of Data for Mining Individual Friendship Pattern from Cellular Phone Call Logs},
  author={Zhengbin Dong and Guojie Song and Kunqing Xie and Yixian Sun and Jingyao Wang},
  journal={2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery},
  year={2009},
  volume={5},
  pages={573-577}
}
In this paper, we study a new problem of mining individual friendship pattern (IFP) for characterizing the interaction behavior of each user in cellular phone call logs. The IFP represents the user’s recent frequent relationships and their importance in social lives, which is a unique feature like fingerprint and is useful for many applications such as user resolution and viral marketing etc. We first give the definition and the efficient mining algorithm of the IFP. Then we solve the problem… CONTINUE READING

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