Publication: Randomizing growing networks with a time-respecting null model
Randomizing growing networks with a time-respecting null model
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Ren, Z.-M., Mariani, M. S., Zhang, Y.-C., & Medo, M. (2018). Randomizing growing networks with a time-respecting null model. Physical Review. E, 97(5), 052311. https://doi.org/10.1103/PhysRevE.97.052311
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Complex networks are often used to represent systems that are not static but grow with time: People make new friendships, new papers are published and refer to the existing ones, and so forth. To assess the statistical significance of measurements made on such networks, we propose a randomization methodology—a time-respecting null model—that preserves both the network's degree sequence and the time evolution of individual nodes' degree values. By preserving the temporal linking patterns of the analyzed system, the proposed model is ab
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- Ren, Zhuo-Ming
- Zhang, Yi-Cheng
- Medo, Matúš
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Citations
Ren, Z.-M., Mariani, M. S., Zhang, Y.-C., & Medo, M. (2018). Randomizing growing networks with a time-respecting null model. Physical Review. E, 97(5), 052311. https://doi.org/10.1103/PhysRevE.97.052311
