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Explosive Percolation in Random Networks
Abstract
Networks in which the formation of connections is governed by a random process often undergo a percolation transition, wherein around a critical point, the addition of a small number of connections causes a sizable fraction of the network to suddenly become linked together. Typically such transitions are continuous, so that the percentage of the network linked together tends to zero right above the transition point. Whether percolation transitions could be discontinuous has been an open question. Here, we show that incorporating a limited amount of choice in the classic Erdös-Rényi network formation model causes its percolation transition to become discontinuous.
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Cited by
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Buldyrev, S. V., Parshani, R., Paul, G., Stanley, H. E., & Havlin, S. (2010) · Nature · doi:10.1038/nature08932 · Cited by 4,513
Globally networked risks and how to respond
Helbing, D. (2013) · Nature · doi:10.1038/nature12047 · Cited by 1,281
Recent advances in percolation theory and its applications
Saberi, A. A. (2015) · Physics Reports · doi:10.1016/j.physrep.2015.03.003 · Cited by 438
Explosive transitions in complex networks’ structure and dynamics: Percolation and synchronization
Boccaletti, S., Almendral, J. A., Guan, S., Leyva, I., Liu, Z., Sendiña-Nadal, I., Wang, Z., & Zou, Y. (2016) · Physics Reports · doi:10.1016/j.physrep.2016.10.004 · Cited by 363
Preferential Attachment, Homophily, and the Structure of International Networks, 1816–2003
Maoz, Z. (2012) · Conflict Management and Peace Science · doi:10.1177/0738894212443344 · Cited by 80
Metadata
- Authors
- Achlioptas, D., D'Souza, R. M., & Spencer, J.
- Venue
- Science
- Published
- 2009-03-13
- Volume
- 323
- Issue
- 5920
- Pages
- 1453-1455
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2093333368
- Cited by
- 673
- References
- 0
- FWCI
- 28.49
- Type
- journal article
- Language
- en
- Open access
- closed
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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.