Publication: Comparing methods for creating a national random sample of twitter users
Comparing methods for creating a national random sample of twitter users
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Alizadeh, M., Zare, D., Samei, Z., Alizadeh, M., Kubli, M., Aliahmadi, M., Ebrahimi, S., & Gilardi, F. (2024). Comparing methods for creating a national random sample of twitter users. Social Network Analysis and Mining, 14, 160. https://doi.org/10.1007/s13278-024-01327-5
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Twitter data has been widely used by researchers across various social and computer science disciplines. A common aim when working with Twitter data is the construction of a random sample of users from a given country. However, while several methods have been proposed in the literature, their comparative performance is mostly unexplored. In this paper, we implement four common methods to create a random sample of Twitter users in the US: 1% Stream, Bounding Box, Location Query, and Language Query. Then, we compare these methods accord
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- Alizadeh, Meysam
- Zare, Darya
- Samei, Zeynab
- Alizadeh, Mohammadamin
- Aliahmadi, Mohammadhadi
- Ebrahimi, Sarvenaz
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Alizadeh, M., Zare, D., Samei, Z., Alizadeh, M., Kubli, M., Aliahmadi, M., Ebrahimi, S., & Gilardi, F. (2024). Comparing methods for creating a national random sample of twitter users. Social Network Analysis and Mining, 14, 160. https://doi.org/10.1007/s13278-024-01327-5
