The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Bridging the gap between physical location and online social networks
Abstract
This paper examines the location traces of 489 users of a location sharing social network for relationships between the users' mobility patterns and structural properties of their underlying social network. We introduce a novel set of location-based features for analyzing the social context of a geographic region, including location entropy, which measures the diversity of unique visitors of a location. Using these features, we provide a model for predicting friendship between two users by analyzing their location trails. Our model achieves significant gains over simpler models based only on direct properties of the co-location histories, such as the number of co-locations. We also show a positive relationship between the entropy of the locations the user visits and the number of social ties that user has in the network. We discuss how the offline mobility of users can have implications for both researchers and designers of online social networks.
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Cites
Granovetter, M. S. (1973) · American Journal of Sociology · doi:10.1086/225469 · Cited by 40,491
Ellison, N. B., Steinfield, C., & Lampe, C. (2007) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2007.00367.x · Cited by 9,939
Understanding individual human mobility patterns
González, M. C., Hidalgo, C. A., & Barabási, A.-L. (2008) · Nature · doi:10.1038/nature06958 · Cited by 6,059
Internet paradox: A social technology that reduces social involvement and psychological well-being?
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The chronicle of higher education
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Inferring friendship network structure by using mobile phone data
Eagle, N., Pentland, A. (., & Lazer, D. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0900282106 · Cited by 1,856
Predicting tie strength with social media
Gilbert, E., & Karahalios, K. (2009) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1518701.1518736 · Cited by 1,382
Understanding mobility based on GPS data
Zheng, Y., Li, Q., Chen, Y., Xie, X., & Ma, W.-Y. (2008) · Proceedings of the 10th international conference on Ubiquitous computing · doi:10.1145/1409635.1409677 · Cited by 1,132
Mining user similarity based on location history
Li, Q., Zheng, Y., Xie, X., Chen, Y., Liu, W., & Ma, W.-Y. (2008) · Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems · doi:10.1145/1463434.1463477 · Cited by 650
Eigenbehaviors: identifying structure in routine
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Cited by
Urban Computing: Concepts, Methodologies, and Applications
Zheng, Y., Capra, L., Wolfson, O., & Yang, H. (2014) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/2629592 · Cited by 1,507
DeepMove: Predicting Human Mobility with Attentional Recurrent Networks
Feng, J., Li, Y., Zhang, C., Sun, F., Meng, F., Guo, A., & Jin, D. (2018) · Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18 · doi:10.1145/3178876.3186058 · Cited by 707
Human mobility, social ties, and link prediction
Wang, D., Pedreschi, D., Song, C., Giannotti, F., & Barabasi, A.-L. (2011) · Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/2020408.2020581 · Cited by 665
The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City
Cranshaw, J., Schwartz, R., Hong, J., & Sadeh, N. (2021) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v6i1.14278 · Cited by 565
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
Metadata
- Authors
- Cranshaw, J., Toch, E., Hong, J., Kittur, A., & Sadeh, N.
- Venue
- Proceedings of the 12th ACM international conference on Ubiquitous computing
- Publisher
- ACM
- Published
- 2010-09-26
- Pages
- 119-128
- OpenAlex
- W2126895033
- Cited by
- 431
- References
- 16
- FWCI
- 79.91
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Cranshaw, J., Toch, E., Hong, J., Kittur, A., & Sadeh, N. (2010). Bridging the gap between physical location and online social networks. Proceedings of the 12th ACM international conference on Ubiquitous computing. https://doi.org/10.1145/1864349.1864380
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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.
