4.1 Article

Extremal linkage networks

期刊

EXTREMES
卷 25, 期 2, 页码 229-255

出版社

SPRINGER
DOI: 10.1007/s10687-021-00433-3

关键词

Spatial network; Random tree; Max-stable fitnesses; Coalescence; Small-world graph

资金

  1. CogniGron research center
  2. Ubbo Emmius Funds (University of Groningen)

向作者/读者索取更多资源

In this study, we demonstrate how sophisticated graph properties naturally emerge from a reinforcement mechanism on layered graphs, where the fitness of each node plays a role in determining its edge connections.
We demonstrate how sophisticated graph properties, such as small distances and scale-free degree distributions, arise naturally from a reinforcement mechanism on layered graphs. Every node is assigned an a-priori i.i.d. fitness with max-stable distribution. The fitness determines the node attractiveness w.r.t. incoming edges as well as the spatial range for outgoing edges. For max-stable fitness distributions, we thus obtain a complex spatial network, which we coin extremal linkage network.

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