Benefits of bias: towards better characterization of network sampling

Arun S. Maiya, Tanya Y. Berger-Wolf. Benefits of bias: towards better characterization of network sampling. In Chid Apté, Joydeep Ghosh, Padhraic Smyth, editors, Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Diego, CA, USA, August 21-24, 2011. pages 105-113, ACM, 2011. [doi]

@inproceedings{MaiyaB11,
  title = {Benefits of bias: towards better characterization of network sampling},
  author = {Arun S. Maiya and Tanya Y. Berger-Wolf},
  year = {2011},
  doi = {10.1145/2020408.2020431},
  url = {http://doi.acm.org/10.1145/2020408.2020431},
  researchr = {https://researchr.org/publication/MaiyaB11},
  cites = {0},
  citedby = {0},
  pages = {105-113},
  booktitle = {Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Diego, CA, USA, August 21-24, 2011},
  editor = {Chid Apté and Joydeep Ghosh and Padhraic Smyth},
  publisher = {ACM},
  isbn = {978-1-4503-0813-7},
}