The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Structure and tie strengths in mobile communication networks
Open accessAbstract
Electronic databases, from phone to e-mails logs, currently provide detailed records of human communication patterns, offering novel avenues to map and explore the structure of social and communication networks. Here we examine the communication patterns of millions of mobile phone users, allowing us to simultaneously study the local and the global structure of a society-wide communication network. We observe a coupling between interaction strengths and the network's local structure, with the counterintuitive consequence that social networks are robust to the removal of the strong ties but fall apart after a phase transition if the weak ties are removed. We show that this coupling significantly slows the diffusion process, resulting in dynamic trapping of information in communities and find that, when it comes to information diffusion, weak and strong ties are both simultaneously ineffective.
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Cited by
Fast unfolding of communities in large networks
Blondel, V. D., Guillaume, J.-L., Lambiotte, R., & Lefebvre, E. (2008) · Journal of Statistical Mechanics: Theory and Experiment · doi:10.1088/1742-5468/2008/10/p10008 · Cited by 21,424
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Statistical physics of social dynamics
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Epidemic processes in complex networks
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Metadata
- Authors
- Onnela, J.-P., Saramäki, J., Hyvönen, J., Szabó, G., Lazer, D., Kaski, K., Kertész, J., & Barabási, A.-L.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2007-05
- Volume
- 104
- Issue
- 18
- Pages
- 7332-7336
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2141113219
- Cited by
- 1,926
- References
- 5
- FWCI
- 56.57
- Type
- journal article
- Language
- en
- Open access
- green
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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.