The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Trends in Social Media: Persistence and Decay
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Citations
Cites
Measuring user influence in twitter: The million follower fallacy
Cha, M., Haddadi, H., Benevenuto, F., & Gummadi, K. (2010) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v4i1.14033 · Cited by 3,022 · cited 1×
“As to the study of influence within Twitter, Cha et al. [3] performed a comparison of three different measures of influence - indegree, retweets, and user mentions.”
BackgroundDistinguishing influence-based contagion from homophily-driven diffusion in dynamic networks
Aral, S., Muchnik, L., & Sundararajan, A. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0908800106 · Cited by 1,207
Cited by
Competition among memes in a world with limited attention
Weng, L., Flammini, A., Vespignani, A., & Menczer, F. (2012) · Scientific Reports · doi:10.1038/srep00335 · Cited by 620
Toward an Ethics of Algorithms: Convening, Observation, Probability, and Timeliness
Ananny, M. (2016) · Science, Technology, & Human Values · doi:10.1177/0162243915606523 · Cited by 395
A survey of Twitter research: Data model, graph structure, sentiment analysis and attacks
Antonakaki, D., Fragopoulou, P., & Ioannidis, S. (2021) · Expert Systems with Applications · doi:10.1016/j.eswa.2020.114006 · Cited by 265
A Survey of Information Cascade Analysis: Models, Predictions, and Recent Advances
Zhou, F., Xu, X., Trajcevski, G., & Zhang, K. (2022) · ACM Computing Surveys · doi:10.1145/3433000 · Cited by 259
How Visibility and Divided Attention Constrain Social Contagion
Hodas, N. O., & Lerman, K. (2012) · 2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing · doi:10.1109/socialcom-passat.2012.129 · Cited by 136
Metadata
- Authors
- Asur, S., Huberman, B. A., Szabo, G., & Wang, C.
- Venue
- SSRN Electronic Journal
- Publisher
- Elsevier BV
- Published
- 2011
- ISSN
- 1556-5068 (ISSN-L)
- OpenAlex
- W2117192789
- Cited by
- 296
- References
- 2
- Type
- posted content
- Language
- en
- Open access
- green
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- The paper
- Asur, S., Huberman, B. A., Szabo, G., & Wang, C. (2011). Trends in Social Media: Persistence and Decay. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.1755748
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.
