The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Entropy of dialogues creates coherent structures in e-mail traffic
Open accessAbstract
We study the dynamic network of e-mail traffic and find that it develops self-organized coherent structures similar to those appearing in many nonlinear dynamic systems. Such structures are uncovered by a general information theoretic approach to dynamic networks based on the analysis of synchronization among trios of users. In the e-mail network, coherent structures arise from temporal correlations when users act in a synchronized manner. These temporally linked structures turn out to be functional, goal-oriented aggregates that must react in real time to changing objectives and challenges (e.g., committees at a university). In contrast, static structures turn out to be related to organizational units (e.g., departments).
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Cites
Large-scale topological and dynamical properties of the Internet
Vázquez, A., Pastor-Satorras, R., & Vespignani, A. (2002) · Physical Review E · doi:10.1103/physreve.65.066130 · Cited by 712
Simple Lessons from Complexity
Goldenfeld, N., & Kadanoff, L. P. (1999) · Science · doi:10.1126/science.284.5411.87 · Cited by 554
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Lazer, D., Pentland, A., Adamic, L., Aral, S., Barabási, A.-L., Brewer, D., Christakis, N., Contractor, N., Fowler, J., Gutmann, M., et al. (2009) · Science · doi:10.1126/science.1167742 · Cited by 3,365
Holme, P., & Saramäki, J. (2012) · Physics Reports · doi:10.1016/j.physrep.2012.03.001 · Cited by 2,736
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Barabási, A.-L. (2005) · Nature · doi:10.1038/nature03459 · Cited by 2,210
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How Visibility and Divided Attention Constrain Social Contagion
Hodas, N. O., & Lerman, K. (2012) · 2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing · doi:10.1109/socialcom-passat.2012.129 · Cited by 136
Metadata
- Authors
- Eckmann, J.-P., Moses, E., & Sergi, D.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2004-09-24
- Volume
- 101
- Issue
- 40
- Pages
- 14333-14337
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2104972875
- Cited by
- 444
- References
- 2
- FWCI
- 12.51
- 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.
