Structure and tie strengths in mobile communication networks

By Jukka-Pekka Onnela, J. Saramaki, J. Hyvönen, Gábor Szabó, David M. J. Lazer, Kimmo K. Kaski, János Kertész, Albert-László Barabási. Proceedings of the National Academy of Sciences of the United States of America, 2006

1,957 citations recorded by the source corpus.

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.

Subfields: Statistical and Nonlinear Physics, Transportation

View Paper: https://www.semanticscholar.org/paper/610768ea6ceb38a462c26604af68ea9231a9b0ce

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In Statistical and Nonlinear Physics

  1. Santo Fortunato
  2. Mark Newman
  3. Olaf Sporns
  4. Jure Leskovec
  5. M. A. Porter
  6. Marc Barthelemy
  7. Albert-László Barabási
  8. Renaud Lambiotte

In Transportation

  1. Marc Barthelemy
  2. Albert-László Barabási
  3. Carlo Ratti
  4. Francesco Calabrese
  5. Vincent D. Blondel
  6. Cecilia Mascolo
  7. Salvatore Scellato
  8. Laura Ferrari

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