On the Evolution of Random Graphs
By P. Erd6s, A. R~nyi
Subfields: Algorithms & Complexity
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Algorithms & Complexity
- Mark Newman
- Jure Leskovec
- Christos Faloutsos
- Deepayan Chakrabarti
- Albert-László Barabási
- Guanrong Chen
- Lada A. Adamic
- Shlomo Havlin
Citations in the corpus
- Bayesian Structure Learning with Generative Flow Networks (2022, methodology): “Therefore, we sampled N = 100 datapoints from a randomly generated (under an Erd˝os-Rényi model; Erd˝os and Rényi, 1960) We evaluated the quality of the approximation based on the probability of various structural features.”
- Statistical physics of vaccination (2016, unknown): “lattices, small-world networks (SW) [174, 505], Erdös-Rényi random graphs (ER) [506], and Barabási-Albert scale-free networks (BA or SF) [507].”
- The phase transition in inhomogeneous random graphs (2005, background): “Then c 0 ρ ′ + (c 0 ) ≤ 2, with equality in the classical Erd˝ os–Rényi case.”
- Agreement over random networks (2004, methodology): “In this note, we will not consider these more general models and instead, enjoy the elegance offered by the random graph model as proposed by Erdős and Rényi [5].”
- Critical random graphs: Diameter and mixing time (2007, unknown): “2 and the following fact, first proved in [10] (see also [1], [18] and [21]): In G(n, 1+λn −1/3 n ), lim inf n P(|C1| > βn) → 1 , as β → 0 .”
- The component sizes of a critical random graph with given degree sequence (2010, background): “Then, for large integers n, SGn is an approximation of the Erdős–Renyi random graph G(n,1/n).”
- An Energy-Balanced Routing Method Based on Forward-Aware Factor for Wireless Sensor Networks (2014, methodology): “In [17], Erdös and Rényi propose ER random graph model based on classic graph theory and statistical physics.”
- Analysis of global control of Escherichia coli carbohydrate uptake (2007, unknown): “This network can be interpreted as the expected adjacency matrix of an Erdös-Rényi network [37].”
- The topology of the transcription regulatory network in the yeast (2002, methodology): “The test graphs include an uncorrelated random graph [9], a small-world graph [10], and a scale-free graph [11], representing the three major network families known in graph theory [12].”