The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Socio-Spatial Properties of Online Location-Based Social Networks
Open accessAbstract
The spatial structure of large-scale online social networks has been largely unaccessible due to the lack of available and accurate data about people’s location. However, with the recent surging popularity of location-based social services, data about the geographic position of users have been available for the first time, together with their online social connections. In this work we present a comprehensive study of the spatial properties of the social networks arising among users of three main popular online location-based services. We observe robust universal features across them: while all networks exhibit about 40% of links below 100 km, we further discover strong heterogeneity across users, with different characteristic spatial lengths of interaction across both their social ties and social triads. We provide evidence that mechanisms akin to gravity models may influence how these social connections are created over space. Our results constitute the first large-scale study to unravel the socio-spatial properties of online location-based social networks.
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Cited by
Batty, M., Axhausen, K. W., Giannotti, F., Pozdnoukhov, A., Bazzani, A., Wachowicz, M., Ouzounis, G., & Portugali, Y. (2012) · The European Physical Journal Special Topics · doi:10.1140/epjst/e2012-01703-3 · Cited by 2,424
LCARS: a location-content-aware recommender system
Yin, H., Sun, Y., Cui, B., Hu, Z., & Chen, L. (2013) · Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/2487575.2487608 · Cited by 331
Palomares, I., Porcel, C., Pizzato, L., Guy, I., & Herrera-Viedma, E. (2021) · Information Fusion · doi:10.1016/j.inffus.2020.12.001 · Cited by 109
Representation and communication: challenges in interpreting large social media datasets
Rost, M., Barkhuus, L., Cramer, H., & Brown, B. (2013) · Proceedings of the 2013 conference on Computer supported cooperative work · doi:10.1145/2441776.2441817 · Cited by 78
Metadata
- Authors
- Scellato, S., Noulas, A., Lambiotte, R., & Mascolo, C.
- Venue
- Proceedings of the International AAAI Conference on Web and Social Media
- Published
- 2021-08-03
- Volume
- 5
- Issue
- 1
- Pages
- 329-336
- ISSN
- 2162-3449 (ISSN-L)
- 2334-0770
- OpenAlex
- W1599541430
- Cited by
- 428
- References
- 16
- FWCI
- 19.31
- Type
- conference paper
- Language
- en
- Open access
- diamond
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- Scellato, S., Noulas, A., Lambiotte, R., & Mascolo, C. (2021). Socio-Spatial Properties of Online Location-Based Social Networks. Proceedings of the International AAAI Conference on Web and Social Media. https://doi.org/10.1609/icwsm.v5i1.14094
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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