The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Exploring Millions of Footprints in Location Sharing Services
Open accessAbstract
Location sharing services (LSS) like Foursquare, Gowalla, and Facebook Places support hundreds of millions of user-driven footprints (i.e., "checkins"). Those global-scale footprints provide a unique opportunity to study the social and temporal characteristics of how people use these services and to model patterns of human mobility, which are significant factors for the design of future mobile+location-based services, traffic forecasting, urban planning, as well as epidemiological models of disease spread. In this paper, we investigate 22 million checkins across 220,000 users and report a quantitative assessment of human mobility patterns by analyzing the spatial, temporal, social, and textual aspects associated with these footprints. We find that: (i) LSS users follow the “Levy Flight” mobility pattern and adopt periodic behaviors; (ii) While geographic and economic constraints affect mobility patterns, so does individual social status; and (iii) Content and sentiment-based analysis of posts associated with checkins can provide a rich source of context for better understanding how users engage with these services.
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Citations
Cites
Limits of Predictability in Human Mobility
Song, C., Qu, Z., Blumm, N., & Barabási, A.-L. (2010) · Science · doi:10.1126/science.1177170 · Cited by 3,234
Cited by
The promises of big data and small data for travel behavior (aka human mobility) analysis
Chen, C., Ma, J., Susilo, Y., Liu, Y., & Wang, M. (2016) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2016.04.005 · Cited by 580
Spatial, temporal, and socioeconomic patterns in the use of Twitter and Flickr
Li, L., Goodchild, M. F., & Xu, B. (2013) · Cartography and Geographic Information Science · doi:10.1080/15230406.2013.777139 · Cited by 419
Uncovering Patterns of Inter-Urban Trip and Spatial Interaction from Social Media Check-In Data
Liu, Y., Sui, Z., Kang, C., & Gao, Y. (2014) · PLoS ONE · doi:10.1371/journal.pone.0086026 · Cited by 393
Learning Graph-based POI Embedding for Location-based Recommendation
Xie, M., Yin, H., Wang, H., Xu, F., Chen, W., & Wang, S. (2016) · Proceedings of the 25th ACM International on Conference on Information and Knowledge Management · doi:10.1145/2983323.2983711 · Cited by 391
Social Media data: Challenges, opportunities and limitations in urban studies
Martí, P., Serrano-Estrada, L., & Nolasco-Cirugeda, A. (2019) · Computers, Environment and Urban Systems · doi:10.1016/j.compenvurbsys.2018.11.001 · Cited by 325
Metadata
- Authors
- Cheng, Z., Caverlee, J., Lee, K., & Sui, D.
- Venue
- Proceedings of the International AAAI Conference on Web and Social Media
- Published
- 2021-08-03
- Volume
- 5
- Issue
- 1
- Pages
- 81-88
- ISSN
- 2162-3449 (ISSN-L)
- 2334-0770
- OpenAlex
- W2294749418
- Cited by
- 684
- References
- 1
- FWCI
- 43.84
- Type
- conference paper
- Language
- en
- Open access
- diamond
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- Cheng, Z., Caverlee, J., Lee, K., & Sui, D. (2021). Exploring Millions of Footprints in Location Sharing Services. Proceedings of the International AAAI Conference on Web and Social Media. https://doi.org/10.1609/icwsm.v5i1.14109
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