The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
An overview of social network analysis
Open accessAbstract
Data mining is being increasingly applied to social networks. Two relevant reasons are the growing availability of large volumes of relational data, boosted by the proliferation of social media web sites, and the intuition that an individual's connections can yield richer information than his/her isolate attributes. This synergistic combination can show to be germane to a variety of applications such as churn prediction, fraud detection and marketing campaigns. This paper attempts to provide a general and succinct overview of the essentials of social network analysis for those interested in taking a first look at this area and oriented to use data mining in social networks. © 2012 Wiley Periodicals, Inc. This article is categorized under:Application Areas > Science and Technology Commercial, Legal, and Ethical Issues > Social Considerations
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Cites
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The evolving role of artificial intelligence in marketing: A review and research agenda
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Social network analysis: An overview
Tabassum, S., Pereira, F. S. F., Fernandes, S., & Gama, J. (2018) · WIREs Data Mining and Knowledge Discovery · doi:10.1002/widm.1256 · Cited by 419
Self-citationEmergency information diffusion on online social media during storm Cindy in U.S.
Kim, J., Bae, J., & Hastak, M. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.02.003 · Cited by 166
Metadata
- Authors
- Oliveira, M., & Gama, J.
- Venue
- WIREs Data Mining and Knowledge Discovery
- Publisher
- Wiley
- Published
- 2012-02-17
- Volume
- 2
- Issue
- 2
- Pages
- 99-115
- ISSN
- 1942-4787 (ISSN-L)
- 1942-4795
- OpenAlex
- W2041674229
- Cited by
- 188
- References
- 13
- FWCI
- 3.89
- Type
- journal article
- Language
- en
- Open access
- green
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