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Structure and tie strengths in mobile communication networks

Open access
Onnela, J.-P., Saramäki, J., Hyvönen, J., Szabó, G., Lazer, D., Kaski, K., Kertész, J., Barabási, A.-L.·2007·Proceedings of the National Academy of Sciences

Abstract

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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Citations

Cites

Show all 5 references

Research works printed but not linked: 29

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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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CoChat. (2026). Citation check: Structure and tie strengths in mobile communication networks. https://app.cochat.ai/papers/10.1073/pnas.0610245104
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Onnela, J.-P., Saramäki, J., Hyvönen, J., Szabó, G., Lazer, D., Kaski, K., Kertész, J., & Barabási, A.-L. (2007). Structure and tie strengths in mobile communication networks. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0610245104

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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.