The DOI matches its Crossref record.
Erratum: Competition among memes in a world with limited attention
Open accessAbstract
The wide adoption of social media has increased the competition among ideas for our finite attention. We employ a parsimonious agent-based model to study whether such a competition may affect the popularity of different memes, the diversity of information we are exposed to, and the fading of our collective interests for specific topics. Agents share messages on a social network but can only pay attention to a portion of the information they receive. In the emerging dynamics of information diffusion, a few memes go viral while most do not. The predictions of our model are consistent with empirical data from Twitter, a popular microblogging platform. Surprisingly, we can explain the massive heterogeneity in the popularity and persistence of memes as deriving from a combination of the competition for our limited attention and the structure of the social network, without the need to assume different intrinsic values among ideas.
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
Cited by
Free Radicals: Properties, Sources, Targets, and Their Implication in Various Diseases
Phaniendra, A., Jestadi, D. B., & Periyasamy, L. (2015) · Indian Journal of Clinical Biochemistry · doi:10.1007/s12291-014-0446-0 · Cited by 2,886
de Haan, L. T., Verjans, J. M. N., Broer, D. J., Bastiaansen, C. W. M., & Schenning, A. P. H. J. (2014) · Journal of the American Chemical Society · doi:10.1021/ja505475x · Cited by 353
Magnetic Nanoparticles in Targeted Drug Delivery: a Review
kianfar, E. (2021) · Journal of Superconductivity and Novel Magnetism · doi:10.1007/s10948-021-05932-9 · Cited by 280
Wildlife health and supplemental feeding: A review and management recommendations
Murray, M. H., Becker, D. J., Hall, R. J., & Hernandez, S. M. (2016) · Biological Conservation · doi:10.1016/j.biocon.2016.10.034 · Cited by 267
Mapping Cilento: using geotagged social media data to characterize tourist flows in southern Italy
Chua, A., Servillo, L., Marcheggiani, E., & Moere, A. V. (2016) · Tourism Management · doi:10.1016/j.tourman.2016.06.013 · Cited by 216
Metadata
- Authors
- Weng, L., Flammini, A., Vespignani, A., & Menczer, F.
- Venue
- Scientific Reports
- Published
- 2013-08-02
- Volume
- 3
- Issue
- 1
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W2084938591
- Cited by
- 1,002
- References
- 0
- Type
- journal article
- Language
- en
- Open access
- gold
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: Erratum: Competition among memes in a world with limited attention. https://app.cochat.ai/papers/10.1038/srep02304
- The paper
- Weng, L., Flammini, A., Vespignani, A., & Menczer, F. (2013). Erratum: Competition among memes in a world with limited attention. Scientific Reports. https://doi.org/10.1038/srep02304
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.