The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Rise and fall patterns of information diffusion: model and implications
Abstract
The recent explosion in the adoption of search engines and new media such as blogs and Twitter have facilitated faster propagation of news and rumors. How quickly does a piece of news spread over these media? How does its popularity diminish over time? Does the rising and falling pattern follow a simple universal law?
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Citations
Cites
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Kempe, D., Kleinberg, J., & Tardos, É. (2003) · Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/956750.956769 · Cited by 7,326
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Time series analysis forecasting and control
Janacek, G. (2010) · Journal of Time Series Analysis · doi:10.1111/j.1467-9892.2009.00643.x · Cited by 2,584
A New Product Growth for Model Consumer Durables
Bass, F. M. (2004) · Management Science · doi:10.1287/mnsc.1040.0264 · Cited by 2,414
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Cited by
Prominent Features of Rumor Propagation in Online Social Media
Kwon, S., Cha, M., Jung, K., Chen, W., & Wang, Y. (2013) · 2013 IEEE 13th International Conference on Data Mining · doi:10.1109/icdm.2013.61 · Cited by 859
DeepInf: Social Influence Prediction with Deep Learning
Qiu, J., Tang, J., Ma, H., Dong, Y., Wang, K., & Tang, J. (2018) · Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining · doi:10.1145/3219819.3220077 · Cited by 587
Dynamics of information diffusion and its applications on complex networks
Zhang, Z.-K., Liu, C., Zhan, X.-X., Lu, X., Zhang, C.-X., & Zhang, Y.-C. (2016) · Physics Reports · doi:10.1016/j.physrep.2016.07.002 · Cited by 484
SEISMIC: A Self-Exciting Point Process Model for Predicting Tweet Popularity
Zhao, Q., Erdogdu, M. A., He, H. Y., Rajaraman, A., & Leskovec, J. (2015) · Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining · doi:10.1145/2783258.2783401 · Cited by 478
Rumor Detection over Varying Time Windows
Kwon, S., Cha, M., & Jung, K. (2017) · PLOS ONE · doi:10.1371/journal.pone.0168344 · Cited by 352
Metadata
- Authors
- Matsubara, Y., Sakurai, Y., Prakash, B. A., Li, L., & Faloutsos, C.
- Venue
- Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
- Publisher
- ACM
- Published
- 2012-08-12
- Pages
- 6-14
- OpenAlex
- W2141250202
- Cited by
- 306
- References
- 38
- FWCI
- 23.18
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Rise and fall patterns of information diffusion: model and implications. https://app.cochat.ai/papers/10.1145/2339530.2339537
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- Matsubara, Y., Sakurai, Y., Prakash, B. A., Li, L., & Faloutsos, C. (2012). Rise and fall patterns of information diffusion: model and implications. Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining. https://doi.org/10.1145/2339530.2339537
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.
