The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Identifying effective influencers based on trust for electronic word-of-mouth marketing: A domain-aware approach
Overview
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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 2×
“[8] p p Network theory Dynamics of user influence across topics and time Wu and Hofman [40] p p Network theory Classifying users using Twitter lists into ‘‘elite’’ and ‘‘ordinary’’ users Paul et al.”
BackgroundMethodThe impact of electronic word-of-mouth communication: A literature analysis and integrative model
Cheung, C. M. K., & Thadani, D. R. (2012) · Decision Support Systems · doi:10.1016/j.dss.2012.06.008 · Cited by 2,005
Cited by
AlFarraj, O., Alalwan, A. A., Obeidat, Z. M., Baabdullah, A., Aldmour, R., & Al-Haddad, S. (2021) · Review of International Business and Strategy · doi:10.1108/ribs-07-2020-0089 · Cited by 311
Conceptualizing the Evolution and Future of Advertising
Kumar, V., & Gupta, S. (2016) · Journal of Advertising · doi:10.1080/00913367.2016.1199335 · Cited by 209
Schorn, A., Vinzenz, F., & Wirth, W. (2022) · Young Consumers · doi:10.1108/yc-07-2021-1355 · Cited by 49
Metadata
- Authors
- Liu, S., Jiang, C., Lin, Z., Ding, Y., Duan, R., & Xu, Z.
- Venue
- Information Sciences
- Publisher
- Elsevier BV
- Published
- 2015-06
- Volume
- 306
- Pages
- 34-52
- ISSN
- 0020-0255 (ISSN-L)
- OpenAlex
- W2460896747
- Cited by
- 219
- References
- 2
- FWCI
- 38.76
- 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.
