2005
DOI: 10.1017/s000186780000001x
|View full text |Cite
|
Sign up to set email alerts
|

Connectivity of random k-nearest-neighbour graphs

Abstract: Let 𝓅 be a Poisson process of intensity one in a square S n of area n. We construct a random geometric graph G n,k by joining each point of 𝓅 to its k ≡ k(n) nearest neighbours. Recently, Xue and Kumar proved that if k ≤ 0.074 log n then the probability that G n, k is connected tends to 0 as n → ∞ while, if k ≥ 5.1774 log n, then the probability that G … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

4
163
0

Year Published

2009
2009
2022
2022

Publication Types

Select...
4
1

Relationship

2
3

Authors

Journals

citations
Cited by 51 publications
(167 citation statements)
references
References 14 publications
4
163
0
Order By: Relevance
“…However, the value of this constant c remains unknown. Numerical results [1] indicate that it is close to the above lower bound, namely 0.3043.…”
Section: Introductionsupporting
confidence: 67%
See 4 more Smart Citations
“…However, the value of this constant c remains unknown. Numerical results [1] indicate that it is close to the above lower bound, namely 0.3043.…”
Section: Introductionsupporting
confidence: 67%
“…Section 3 contains our results on connectivity. We need the main theorem of [1] and three technical lemmas before we can begin. These are followed by Lemma 7, which embodies the main idea relating s-connectivity to connectivity, and it together with Lemma 8 enables us to establish Theorem 1.…”
Section: Resultsmentioning
confidence: 99%
See 3 more Smart Citations