Springer Nature is making SARS-CoV-2 and COVID-19 research free. View research | View latest news | Sign up for updates

CareerMap: visualizing career trajectory

  • 46 Accesses

This is a preview of subscription content, log in to check access.

References

  1. 1

    Tang J, Zhang J, Yao L M, et al. ArnetMiner: extraction and mining of academic social networks. In: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Las Vegas, 2008. 990–998

  2. 2

    Tang J, Fong A C M, Wang B, et al. A unified probabilistic framework for name disambiguation in digital library. IEEE Trans Knowl Data Eng, 2012, 24: 975–987

  3. 3

    Shi L, Tong H H, Tang J, et al. VEGAS: visual influence graph summarization on citation networks. IEEE Trans Knowl Data Eng, 2015, 27: 3417–3431

  4. 4

    Yang Z, Tang J, Wang B, et al. Expert2Bole: from expert finding to bole search. In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, New York, 2009

Download references

Acknowledgements

This work was supported by National Natural Science Foundation of China (NSFC) (Grant No. 61561130160) and Royal Society-Newton Advanced Fellowship Award.

Author information

Correspondence to Jie Tang.

Electronic supplementary material

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Wu, K., Tang, J., Shao, Z. et al. CareerMap: visualizing career trajectory. Sci. China Inf. Sci. 61, 104101 (2018). https://doi.org/10.1007/s11432-018-9469-5

Download citation