Preferential Attachment Trees with Vertex Death: Persistence of the Maximum Degree
Bas Lodewijks

TL;DR
This paper studies a generalized preferential attachment tree model with vertex death, introducing a new concept of persistence for the oldest and highest-degree vertices, and identifies conditions for persistence or its absence in different regimes.
Contribution
It generalizes previous models by defining a broader persistence concept and provides conditions for the existence or lack of persistent hubs in both infinite and finite lifetime regimes.
Findings
In the infinite lifetime regime, persistent hubs may or may not exist depending on model parameters.
In the finite lifetime regime, conditions for persistence are established.
The work extends and generalizes previous results on preferential attachment with vertex death.
Abstract
We consider an evolving random discrete tree model called Preferential Attachment with Vertex Death, as introduced by Deijfen. Initialised with an alive root labelled , at each step either a new vertex with label is introduced that attaches to an existing alive vertex selected preferentially according to a function , or an alive vertex is selected preferentially according to a function and killed. In this article we introduce a generalised concept of persistence for evolving random graph models. Let be the smallest label among all alive vertices (the oldest alive vertex), and let be the label of the alive vertex with the largest degree. We say a persistent -hub exists if converges almost surely, we say that persistence occurs when is tight, and that lack of persistence occurs when tends to…
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Taxonomy
TopicsStochastic processes and statistical mechanics · Complex Network Analysis Techniques · Theoretical and Computational Physics
