Graph sampling for Internet topologies using normalized Laplacian spectral features
DOI10.1016/J.INS.2018.12.073zbMath1443.68023OpenAlexW2907685836WikidataQ128638818 ScholiaQ128638818MaRDI QIDQ2005529
Bo Jiao, Li-Ning Xing, Wensheng Zhang, Jian-mai Shi
Publication date: 8 October 2020
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2018.12.073
bipartite graphgraph samplingnormalized Laplacian spectrumweighted spectral distributioninterdomain Internet topology
Small world graphs, complex networks (graph-theoretic aspects) (05C82) Graph theory (including graph drawing) in computer science (68R10) Graphs and linear algebra (matrices, eigenvalues, etc.) (05C50) Internet topics (68M11)
Cites Work
- Sampling social networks using shortest paths
- Scaling of weighted spectral distribution in deterministic scale-free networks
- Unbiased sampling of network ensembles
- Correlation between weighted spectral distribution and average path length in evolving networks
- The 3-cycle weighted spectral distribution in evolving community-based networks
- Coupling Online and Offline Analyses for Random Power Law Graphs
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