PageRank Nibble on the Sparse Directed Stochastic Block Model
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-32296-9_10
Reference14 articles.
1. Avrachenkov, K., Kadavankandy, A., Litvak, N.: Mean field analysis of personalized PageRank with implications for local graph clustering. J. Stat. Phys. 173(3), 895–916 (2018)
2. Garavaglia, A., van der Hofstad, R., Litvak, N.: Local weak convergence for PageRank. Ann. Appl. Probab. 30(1), 40–79 (2020)
3. Gulikers, L., Lelarge, M., Massoulié, L.: An impossibility result for reconstruction in the degree-corrected stochastic block model. Ann. Appl. Probab. 28(5), 3002–3027 (2018)
4. Kloumann, I.M., Ugander, J., Kleinberg, J.: Block models and personalized PageRank. Proc. Nat. Acad. Sci. 114(1), 33–38 (2017)
5. Lee, J., Olvera-Cravioto, M.: PageRank on inhomogeneous random digraphs. Stoch. Process. Appl. 130(4), 2312–2348 (2020)
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