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Find me if you can: improving geographical prediction with social and spatial proximity
Abstract
Geography and social relationships are inextricably intertwined; the people we interact with on a daily basis almost always live near us. As people spend more time online, data regarding these two dimensions -- geography and social relationships -- are becoming increasingly precise, allowing us to build reliable models to describe their interaction. These models have important implications in the design of location-based services, security intrusion detection, and social media supporting local communities.
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Cited by
The Anatomy of the Facebook Social Graph
Ugander, J., Karrer, B., Backstrom, L., & Marlow, C. (2011) · arXiv · doi:10.48550/arxiv.1111.4503 · Cited by 819
Self-citationSocial Media Mining: An Introduction
Zafarani, R., Abbasi, M. A., & Liu, H. (2014) · Cambridge University Press eBooks · doi:10.1017/cbo9781139088510 · Cited by 592
Backstrom, L., Boldi, P., Rosa, M., Ugander, J., & Vigna, S. (2012) · Proceedings of the 4th Annual ACM Web Science Conference · doi:10.1145/2380718.2380723 · Cited by 567
Self-citationExploiting place features in link prediction on location-based social networks
Scellato, S., Noulas, A., & Mascolo, C. (2011) · Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/2020408.2020575 · Cited by 522
Socio-Spatial Properties of Online Location-Based Social Networks
Scellato, S., Noulas, A., Lambiotte, R., & Mascolo, C. (2021) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v5i1.14094 · Cited by 428
Metadata
- Authors
- Backstrom, L., Sun, E., & Marlow, C.
- Venue
- Proceedings of the 19th international conference on World wide web
- Publisher
- ACM
- Published
- 2010-04-26
- Pages
- 61-70
- OpenAlex
- W2168346693
- Cited by
- 705
- References
- 0
- FWCI
- 108.91
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Backstrom, L., Sun, E., & Marlow, C. (2010). Find me if you can: improving geographical prediction with social and spatial proximity. Proceedings of the 19th international conference on World wide web. https://doi.org/10.1145/1772690.1772698
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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.
