Testing centralization in random graphs
β Scribed by Christian Tallberg
- Publisher
- Elsevier Science
- Year
- 2004
- Tongue
- English
- Weight
- 164 KB
- Volume
- 26
- Category
- Article
- ISSN
- 0378-8733
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
tuczak, T., Cycles in random graphs, Discrete Mathematics 98 (1991) 231-236. Let G(n, p) be a graph on n vertices in which each possible edge is presented independently with probability p = p(n) and u'(n, p) denote the number of vertices of degree 1 in G(n, p). It is shown that if E > 0 and rip(n)))
For each fixed p, the random directed graph D(n, p) on n vertices with (directed) edge probability p possesses a kernel with probability tending to 1 as n + a. Pour chaque p fixe, le graphe alCatoire D(n, p) a n sommets et probabilitts des arcs Cgales B p posstde un noyau avec une probabilit6 tenda
## Abstract The authors discuss a graphβbased approach for testing spatial point patterns. This approach falls under the category of dataβrandom graphs, which have been introduced and used for statistical pattern recognition in recent years. The authors address specifically the problem of testing c