Abstract Given a sequence of nonnegative real numbers λ 0 , λ 1 … which sum to 1, we consider random graphs having approximately λ i n vertices of degree i. Essentially, we show that if Σ i(i ‐ 2)λ i > 0, then such graphs almost surely have a giant component, while if Σ…
Random Structures and Algorithms Template
Write in a clean editor, then format for Random Structures and Algorithms in one click — DocuGuru applies the official Wiley template with author–year references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the Random Structures and Algorithms format
Random Structures and Algorithms is a peer-reviewed journal published by Wiley, covering Limits and Structures in Graph Theory, Stochastic processes and statistical mechanics, Advanced Graph Theory Research.
| Publisher | Wiley |
|---|---|
| Reference style | Author–year (Chicago) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Random Structures and Algorithms 12 (3): 45–58.
Formats any DOI in Random Structures and Algorithms style. No sign-up. |
| Publishes research in | Limits and Structures in Graph Theory Stochastic processes and statistical mechanics Advanced Graph Theory Research Markov Chains and Monte Carlo Methods Graph theory and applications |
| ISSN | 1042-9832 |
| Citation impact (2-yr) | 0.71 |
| h-index | 100 |
| i10-index | 939 |
| Total citations | 52,897 |
| Article processing charge | $4,330 |
| Top institutions publishing here | Tel Aviv University |
| Journal website | onlinelibrary.wiley.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Random Structures and Algorithms per year
Citation impact of Random Structures and Algorithms by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in Random Structures and Algorithms
For many applications it is useful to sample from a finite set of objects in accordance with some particular distribution. One approach is to run an ergodic (i.e., irreducible aperiodic) Markov chain whose stationary distribution is the desired distribution on this set; after the Markov chain has run for M steps, with M sufficiently large,…
Abstract A result of Johnson and Lindenstrauss [13] shows that a set of n points in high dimensional Euclidean space can be mapped into an O( log n/ϵ 2 )‐dimensional Euclidean space such that the distance between any two points changes by only a factor of (1 ± ϵ). In this note, we prove this…
Abstract Recently, Barabási and Albert [2] suggested modeling complex real‐world networks such as the worldwide web as follows: consider a random graph process in which vertices are added to the graph one at a time and joined to a fixed number of earlier vertices, selected with probabilities proportional to their degrees. In [2] and, with…
Abstract We present three alternative simple constructions of small probability spaces on n bits for which any k bits are almost independent. The number of bits used to specify a point in the sample space is (2 + o (1)) (log log n + k /2 + log k + log 1/ϵ), where ϵ is…