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
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Bowling alone: the collapse and revival of American community
(2000) · Choice Reviews Online · doi:10.5860/choice.38-2454 · Cited by 28,789
Centrality in social networks conceptual clarification
Freeman, L. C. (1978) · Social Networks · doi:10.1016/0378-8733(78)90021-7 · Cited by 17,062
(2017) · The SAGE Encyclopedia of Communication Research Methods · doi:10.4135/9781483381411.n575 · Cited by 6,008
Cook, K. S. (2020) · The Blackwell Encyclopedia of Sociology · doi:10.1002/9781405165518.wbeoss149.pub2 · Cited by 3,637
Emerson, R. M. (1976) · Annual Review of Sociology · doi:10.1146/annurev.so.02.080176.002003 · Cited by 3,457
A Review of Facebook Research in the Social Sciences
Wilson, R. E., Gosling, S. D., & Graham, L. T. (2012) · Perspectives on Psychological Science · doi:10.1177/1745691612442904 · Cited by 1,226
Watts, D. J. (2004) · Annual Review of Sociology · doi:10.1146/annurev.soc.30.020404.104342 · Cited by 1,163
Graphs in Statistical Analysis
Anscombe, F. J. (1973) · The American Statistician · doi:10.2307/2682899 · Cited by 1,048
Tastes, ties, and time: a new social network dataset using Facebook.com
Lewis, K., Kaufman, J., Gonzalez, M., Wimmer, A., & Christakis, N. (2008) · Social Networks · doi:10.1016/j.socnet.2008.07.002 · Cited by 1,024
“But the data is already public”: on the ethics of research in Facebook
Zimmer, M. (2010) · Ethics and Information Technology · doi:10.1007/s10676-010-9227-5 · Cited by 900
Cited by
After the ‘APIcalypse’: social media platforms and their fight against critical scholarly research
Bruns, A. (2019) · Information, Communication & Society · doi:10.1080/1369118x.2019.1637447 · Cited by 403
Investigating Italian disinformation spreading on Twitter in the context of 2019 European elections
Pierri, F., Artoni, A., & Ceri, S. (2020) · PLOS ONE · doi:10.1371/journal.pone.0227821 · Cited by 93
Ben-David, A. (2020) · European Journal of Communication · doi:10.1177/0267323120922069 · Cited by 40
New centrality measure for nodes based on user social status and behavior on Facebook
Forouzandeh, S., Sheikhahmadi, A., Rezaei Aghdam, A., & Xu, S. (2018) · International Journal of Web Information Systems · doi:10.1108/ijwis-07-2017-0053 · Cited by 33
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Studying Facebook via data extraction: the Netvizz application. https://app.cochat.ai/papers/10.1145/2464464.2464475
- The paper
- 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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.