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Snowball Sampling and Sample Selection in a Social Network

In: The Econometrics of Networks

Author

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  • Julian TszKin Chan

Abstract

This chapter studies a snowball sampling method for social networks with endogenous peer selection. Snowball sampling is a sampling design which preserves the dependence structure of the network. It sequentially collects the information of vertices linked to the vertices collected in the previous iteration. The snowball samples suffer from a sample selection problem because of the endogenous peer selection. The author proposes a new estimation method that uses the relationship between samples in different iterations to correct selection. The author uses the snowball samples collected from Facebook to estimate the proportion of users who support theUmbrella Movementin Hong Kong.

Suggested Citation

  • Julian TszKin Chan, 2020. "Snowball Sampling and Sample Selection in a Social Network," Advances in Econometrics, in: The Econometrics of Networks, volume 42, pages 61-80, Emerald Group Publishing Limited.
    • Handle: RePEc:eme:aecozz:s0731-905320200000042008
    DOI: 10.1108/S0731-905320200000042008
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    Citations

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    Cited by:

    1. Faozi A. Almaqtari & Najib H. S. Farhan & Hamood Mohammed Al-Hattami & Tamer Elsheikh, 2023. "The moderating role of information technology governance in the relationship between board characteristics and continuity management during the Covid-19 pandemic in an emerging economy," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-16, December.
    2. Zhenwu You & Meng Wang & Yangjin Shamu, 2023. "The impact of network social presence on live streaming viewers’ social support willingness: a moderated mediation model," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.

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