The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
Uncovering individual and collective human dynamics from mobile phone records
Open accessAbstract
Novel aspects of human dynamics and social interactions are investigated by means of mobile phone data. Using extensive phone records resolved in both time and space, we study the mean collective behavior at large scales and focus on the occurrence of anomalous events. We discuss how these spatiotemporal anomalies can be described using standard percolation theory tools. We also investigate patterns of calling activity at the individual level and show that the interevent time of consecutive calls is heavy-tailed. This finding, which has implications for dynamics of spreading phenomena in social networks, agrees with results previously reported on other human activities.
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Cites
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Self-citationComplex networks: structure and dynamics
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Self-citationThe origin of bursts and heavy tails in human dynamics
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Self-citationModelling disease outbreaks in realistic urban social networks
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Self-citationQuantifying social group evolution
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Cited by
Holme, P., & Saramäki, J. (2012) · Physics Reports · doi:10.1016/j.physrep.2012.03.001 · Cited by 2,736
Predicting poverty and wealth from mobile phone metadata
Blumenstock, J., Cadamuro, G., & On, R. (2015) · Science · doi:10.1126/science.aac4420 · Cited by 698
Small but slow world: How network topology and burstiness slow down spreading
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Self-citationUnravelling daily human mobility motifs
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Self-citationDevelopment of origin–destination matrices using mobile phone call data
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Metadata
- Authors
- Candia, J., González, M. C., Wang, P., Schoenharl, T., Madey, G., & Barabási, A.-L.
- Venue
- Journal of Physics A: Mathematical and Theoretical
- Publisher
- IOP Publishing
- Published
- 2008-05-21
- Volume
- 41
- Issue
- 22
- Pages
- 224015
- ISSN
- 1751-8113 (ISSN-L)
- 1751-8121
- OpenAlex
- W2108432893
- Cited by
- 477
- References
- 41
- FWCI
- 53.69
- Type
- journal article
- Language
- en
- Open access
- green
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- Candia, J., González, M. C., Wang, P., Schoenharl, T., Madey, G., & Barabási, A.-L. (2008). Uncovering individual and collective human dynamics from mobile phone records. Journal of Physics A: Mathematical and Theoretical. https://doi.org/10.1088/1751-8113/41/22/224015
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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.
