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Graph sampling

Author

Listed:
  • L.-C. Zhang

    (University of Southampton
    Statistisk sentralbyrå)

  • M. Patone

    (University of Southampton)

Abstract

We synthesise the existing theory of graph sampling. We propose a formal definition of sampling in finite graphs, and provide a classification of potential graph parameters. We develop a general approach of Horvitz–Thompson estimation to T-stage snowball sampling, and present various reformulations of some common network sampling methods in the literature in terms of the outlined graph sampling theory.

Suggested Citation

  • L.-C. Zhang & M. Patone, 2017. "Graph sampling," METRON, Springer;Sapienza Università di Roma, vol. 75(3), pages 277-299, December.
    • Handle: RePEc:spr:metron:v:75:y:2017:i:3:d:10.1007_s40300-017-0126-y
    DOI: 10.1007/s40300-017-0126-y
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    References listed on IDEAS

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    1. Lorenzo Fattorini, 2006. "Applying the Horvitz-Thompson criterion in complex designs: A computer-intensive perspective for estimating inclusion probabilities," Biometrika, Biometrika Trust, vol. 93(2), pages 269-278, June.
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