Human network usage patterns revealed by telecom data

@article{Kong2016HumanNU,
  title={Human network usage patterns revealed by telecom data},
  author={Yiming Kong and Hui Zang and Xiaoli Ma},
  journal={2016 IEEE International Conference on Big Data (Big Data)},
  year={2016},
  pages={1621-1626}
}
Call detail records (CDRs) collected at telecommunication networks have been well studied to reveal human behaviors such as voice service usage, contact regularities and mobility patterns. With the advances in big data technology, carriers can now collect, store and analyze more data, such as records of user mobile web activities, at scales much larger than CDRs. In this paper, we study 14 features extracted from both call and web records through statistical modeling. We also analyze the impact… CONTINUE READING

Figures, Tables, and Topics from this paper.

References

Publications referenced by this paper.
SHOWING 1-10 OF 22 REFERENCES

The communications market report

OFCOM
  • OFCOM, Tech. Rep., 2016.
  • 2016
VIEW 1 EXCERPT

The mobile economy 2016

GSMA
  • GSMA, Tech. Rep., 2016.
  • 2016
VIEW 1 EXCERPT

Mobile network traffic: A user behaviour model

  • 2014 7th IFIP Wireless and Mobile Networking Conference (WMNC)
  • 2014
VIEW 1 EXCERPT

Understanding mobile Internet usage behavior

  • 2014 IFIP Networking Conference
  • 2014
VIEW 1 EXCERPT