Network topology inference from incomplete observation data

This is a preview of subscription content, access via your institution.

References

  1. 1

    Rodriguez M G, Leskovec J, Krause A. Inferring networks of diffusion and influence. Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington DC, 2010. 1019–1028

    Google Scholar 

  2. 2

    Rodriguez M G, Balduzzi D, Schölkopf B. Uncovering the temporal dynamics of diffusion networks. In: Proceedings of the 28th International Conference on Machine Learning, Bellevue, 2011. 561–568

    Google Scholar 

  3. 3

    Amin K, Heidari H, Kearns M. Learning from contagion (without timestamps). In: Proceedings of the 31st International Conference on Machine Learning, Beijing, 2014. 1845–1853

    Google Scholar 

  4. 4

    Sefer E, Kingsford C. Convex risk minimization to infer networks from probabilistic diffusion data at multiple scales. In: Proceedings of 2015 IEEE 31st International Conference, Seoul, 2015. 663–674

    Google Scholar 

  5. 5

    Dou P, Du S Z, Song G J. Inferring diffusion network on incomplete cascade data. In: Proceedings of the 17th International Conference on Web-Age Information Management, Nanchang, 2016. 325–337

    Google Scholar 

  6. 6

    Zong B, Wu Y H, Singh A K, et al. Inferring the underlying structure of information cascades. In: Proceedings of 2013 IEEE 13th International Conference on Data Mining, Brussels, 2012. 1218–1223

    Google Scholar 

  7. 7

    Lokhov A Y. Reconstructing parameters of spreading models from partial observations. In: Proceedings of the 29th Conference on Neural Information Processing Systems, Barcelona, 2016. 3459–3467

    Google Scholar 

  8. 8

    Kempe D, Kleinberg J, Tardos E. Maximizing the spread of influence through a social network. In: Proceedings of the 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, New York, 2003. 137–146

    Google Scholar 

  9. 9

    Khuller S, Moss A, Naor J S. The budgeted maximum coverage problem. Inf Process Lett, 1999, 70: 39–45

    MathSciNet  Article  MATH  Google Scholar 

Download references

Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant No. 61572041), Beijing Natural Science Foundation (Grant No. 4152023), National High Technology Research and Development Program of China (863 Program) (Grant No. 2014AA015103).

Author information

Affiliations

Authors

Corresponding author

Correspondence to Guojie Song.

Additional information

Supporting information Appendixes A–F. The supporting information is available online at info. scichina.com and link.springer.com. The supporting materials are published as submitted, without typesetting or editing. The responsibility for scientific accuracy and content remains entirely with the authors.

Electronic supplementary material

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Dou, P., Song, G. & Zhao, T. Network topology inference from incomplete observation data. Sci. China Inf. Sci. 61, 028102 (2018). https://doi.org/10.1007/s11432-017-9154-1

Download citation