It is well known that many random graphs with infinite variance degrees are ultra-small. More precisely, for configuration models and preferential attachment models where the proportion of vertices of degree at least k is approximately k (-(Ïâ-â1)) with Ïâââ(2,3), typical distances between pairs of vertices in a graph of size n are asymptotic to 2/2 and 4/2 , respectively. In this paper, we investigate the behavior of the diameter in such models. We show that the diameter is of order loglogn precisely when the minimal forward degree d (fwd) of vertices is at least 2. We identify the exact constant, which equals that of the typical distances plus 2/logdfwd . Interestingly, the proof for both models follows identical steps, even though the models are quite different in nature.
Diameter in ultra-small scale-free random graphs.
超小无标度随机图中的直径
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作者:Caravenna Francesco, Garavaglia Alessandro, van der Hofstad Remco
| 期刊: | Random Structures & Algorithms | 影响因子: | 0.800 |
| 时间: | 2019 | 起止号: | 2019 May;54(3):444-498 |
| doi: | 10.1002/rsa.20798 | ||
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