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Complex Graphs and Networks
Abstract
Graph theory in the information age Old and new concentration inequalities A generative model--the preferential attachment scheme Duplication models for biological networks Random graphs with given expected degrees The rise of the giant component Average distance and the diameter Eigenvalues of the adjacency matrix of $G(\mathbf{w})$ The semi-circle law for $G(\mathbf{w})$ Coupling on-line and off-line analyses of random graphs The configuration model for power law graphs The small world phenomenon in hybrid graphs Bibliography Index.
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Cited by
A Survey of Statistical Network Models
Goldenberg, A., Zheng, A. X., Fienberg, S. E., & Airoldi, E. M. (2010) · Foundations and Trends® in Machine Learning · doi:10.1561/2200000005 · Cited by 819
Analyzing and modeling real-world phenomena with complex networks: a survey of applications
Costa, L. D. F., Oliveira, O. N., Travieso, G., Rodrigues, F. A., Villas Boas, P. R., Antiqueira, L., Viana, M. P., & Correa Rocha, L. E. (2011) · Advances in Physics · doi:10.1080/00018732.2011.572452 · Cited by 800
Kronecker Graphs: An Approach to Modeling Networks
Leskovec, J., Chakrabarti, D., Kleinberg, J. M., Faloutsos, C., & Ghahramani, Z. (2008) · arXiv (Cornell University) · doi:10.48550/arxiv.0812.4905 · Cited by 697
A survey of random processes with reinforcement
Pemantle, R. (2007) · Probability Surveys · doi:10.1214/07-ps094 · Cited by 578
Investor Networks in the Stock Market
Ozsoylev, H. N., Walden, J., Yavuz, M. D., & Bildik, R. (2014) · Review of Financial Studies · doi:10.1093/rfs/hht065 · Cited by 258
Metadata
- Authors
- Chung, F., & Lu, L.
- Venue
- CBMS Regional Conference Series in Mathematics
- Publisher
- American Mathematical Society
- Published
- 2006-08-28
- ISSN
- 0160-7642 (ISSN-L)
- 2380-5668
- OpenAlex
- W638149299
- Cited by
- 700
- References
- 0
- FWCI
- 52.07
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Chung, F., & Lu, L. (2006). Complex Graphs and Networks. CBMS Regional Conference Series in Mathematics. https://doi.org/10.1090/cbms/107
Data sources
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.
