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Cited by 175

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Infinite-order percolation and giant fluctuations in a protein interaction network

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Kim, J., Krapivsky, P. L., Kahng, B., Redner, S.·2002·Physical Review E

Abstract

We investigate a model protein interaction network whose links represent interactions between individual proteins. This network evolves by the functional duplication of proteins, supplemented by random link addition to account for mutations. When link addition is dominant, an infinite-order percolation transition arises as a function of the addition rate. In the opposite limit of high duplication rate, the network exhibits giant structural fluctuations in different realizations. For biologically relevant growth rates, the node degree distribution has an algebraic tail with a peculiar rate dependence for the associated exponent.

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Metadata

Authors
Kim, J., Krapivsky, P. L., Kahng, B., & Redner, S.
Venue
Physical Review E
Published
2002-11-11
Volume
66
Issue
5
Pages
055101-055101
ISSN
  • 1063-651X (ISSN-L)
  • 1095-3787
OpenAlex
W2057693235
Cited by
175
References
1
FWCI
6.06
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Infinite-order percolation and giant fluctuations in a protein interaction network. https://app.cochat.ai/papers/10.1103/physreve.66.055101
The paper
Kim, J., Krapivsky, P. L., Kahng, B., & Redner, S. (2002). Infinite-order percolation and giant fluctuations in a protein interaction network. Physical Review E. https://doi.org/10.1103/physreve.66.055101

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.