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Cited by 401

The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.

Studying Facebook via data extraction: the Netvizz application

Rieder, Bernhard·2013·Proceedings of the 5th Annual ACM Web Science Conference

Abstract

This paper describes Netvizz, a data collection and extraction application that allows researchers to export data in standard file formats from different sections of the Facebook social networking service. Friendship networks, groups, and pages can thus be analyzed quantitatively and qualitatively with regards to demographical, post-demographical, and relational characteristics. The paper provides an overview over analytical directions opened up by the data made available, discusses platform specific aspects of data extraction via the official Application Programming Interface, and briefly engages the difficult ethical considerations attached to this type of research.

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Metadata

Authors
Rieder, B.
Venue
Proceedings of the 5th Annual ACM Web Science Conference
Publisher
ACM
Published
2013-05-02
Pages
346-355
OpenAlex
W2160632223
Cited by
401
References
19
FWCI
20.99
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Studying Facebook via data extraction: the Netvizz application. https://app.cochat.ai/papers/10.1145/2464464.2464475
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Rieder, B. (2013). Studying Facebook via data extraction: the Netvizz application. Proceedings of the 5th Annual ACM Web Science Conference. https://doi.org/10.1145/2464464.2464475

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.