Extremal properties of evolving networks: local dependence and heavy tails
Author:
Funder
The Russian Science Foundation
Publisher
Springer Science and Business Media LLC
Subject
Management Science and Operations Research,General Decision Sciences
Link
https://link.springer.com/content/pdf/10.1007/s10479-023-05175-y.pdf
Reference65 articles.
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2. Bagrow, J. P., & Brockmann, D. (2013). Natural emergence of clusters and bursts in network evolution. Physical Review X, 021016. https://doi.org/10.1103/PhysRevX.3.021016.
3. Banerjee, S., & Olvera-Cravioto, M. (2021). Pagerank asymptotics on directed preferential attachment networks. arXiv:2102.08894v1
4. Beirlant, J., Goegebeur, Y., Teugels, J., & Segers, J. (2004). Statistics of extremes: Theory and applications. Chichester: Wiley.
5. Bollobás, B., & Riordan, O. (2006). Percolation. Cambridge: Cambridge University Press.
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