Clustering in preferential attachment random graphs with edge-step
DOI10.1017/jpr.2021.20zbMath1479.05321OpenAlexW3215706320MaRDI QIDQ5014300
Rodrigo Ribeiro, Rémy Sanchis, Caio Alves
Publication date: 1 December 2021
Published in: Journal of Applied Probability (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1017/jpr.2021.20
Small world graphs, complex networks (graph-theoretic aspects) (05C82) Random graphs (graph-theoretic aspects) (05C80) Graph theory (including graph drawing) in computer science (68R10) Other physical applications of random processes (60K40) Combinatorial probability (60C05) Planar graphs; geometric and topological aspects of graph theory (05C10)
Cites Work
- Unnamed Item
- High-dimensional random geometric graphs and their clique number
- The clustering coefficient of a scale-free random graph
- On tail probabilities for martingales
- Concentration in the generalized Chinese restaurant process
- Spatial preferential attachment networks: power laws and clustering coefficients
- Large communities in a scale-free network
- Random Graphs and Complex Networks
- Large Cliques in a Power-Law Random Graph
- Emergence of Scaling in Random Networks
- Cliques in random graphs
- Robustness and Vulnerability of Scale-Free Random Graphs
- A general model of web graphs
- Collective dynamics of ‘small-world’ networks
This page was built for publication: Clustering in preferential attachment random graphs with edge-step