The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Friends and neighbors on the Web
Abstract
Abstract The Internet has become a rich and large repository of information about us as individuals. Anything from the links and text on a user’s homepage to the mailing lists the user subscribes to are reflections of social interactions a user has in the real world. In this paper we devise techniques and tools to mine this information in order to extract social networks and the exogenous factors underlying the networks’ structure. In an analysis of two data sets, from Stanford University and the Massachusetts Institute of Technology (MIT), we show that some factors are better indicators of social connections than others, and that these indicators vary between user populations. Our techniques provide potential applications in automatically inferring real world connections and discovering, labeling, and characterizing communities.
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Citations
Cites
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Metadata
- Authors
- Adamic, L. A., & Adar, E.
- Venue
- Social Networks
- Publisher
- Elsevier BV
- Published
- 2003-07
- Volume
- 25
- Issue
- 3
- Pages
- 211-230
- ISSN
- 0378-8733 (ISSN-L)
- OpenAlex
- W2154454189
- Cited by
- 2,954
- References
- 1
- FWCI
- 16.57
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
