The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Review on Computational Trust and Reputation Models
Overview
The claims and statistics of this paper haven’t been checked yet.
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Registry
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Claims the paper makes
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Self-check
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Citations
Cites
A survey of trust in internet applications
Grandison, T., & Sloman, M. (2000) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2000.5340804 · Cited by 1,157
Cited by
An empirical comparison of botnet detection methods
García, S., Grill, M., Stiborek, J., & Zunino, A. (2014) · Computers & Security · doi:10.1016/j.cose.2014.05.011 · Cited by 962
At What Level (and in Whom) We Trust: Trust Across Multiple Organizational Levels
Fulmer, C. A., & Gelfand, M. J. (2012) · Journal of Management · doi:10.1177/0149206312439327 · Cited by 886
Research Priorities for Robust and Beneficial Artificial Intelligence
Russell, S., Dewey, D., & Tegmark, M. (2015) · AI Magazine · doi:10.1609/aimag.v36i4.2577 · Cited by 637
Securing the Internet of Things in the Age of Machine Learning and Software-Defined Networking
Restuccia, F., D'Oro, S., & Melodia, T. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2846040 · Cited by 286
Reputation systems: A survey and taxonomy
Hendrikx, F., Bubendorfer, K., & Chard, R. (2015) · Journal of Parallel and Distributed Computing · doi:10.1016/j.jpdc.2014.08.004 · Cited by 219
Metadata
- Authors
- Sabater, J., & Sierra, C.
- Venue
- Artificial Intelligence Review
- Published
- 2005-09
- Volume
- 24
- Issue
- 1
- Pages
- 33-60
- ISSN
- 0269-2821 (ISSN-L)
- 1573-7462
- OpenAlex
- W2120312633
- Cited by
- 911
- References
- 1
- FWCI
- 134.36
- Type
- journal article
- 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.
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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.
