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High Degree Vertices and Eigenvalues in the Preferential Attachment Graph

机译:优惠附件图中的高度顶点和特征值

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The preferential attachment graph is a random graph formed by adding a new vertex at each time step, with a single edge which points to a vertex selected at random with probability proportional to its degree. Every m steps the most recently added m vertices are contracted into a single vertex, so at time t there are roughly t/m vertices and exactly t edges. This process yields a graph which has been proposed as a simple model of the world wide web [BA99]. For any constant k, let Δ_1 > Δ_2 ≥ ··· ≥ Δ_k be the degrees of the k highest degree vertices. We show that at time t, for any function f with f(t) → ∞ as t → ∞, (t~(1/2))/(f(t)) ≤ Δ_1 ≤ t~(1/2) f(t), and for i = 2, ... , k, (t~(1/2))/(f(t)) ≤ Δ_i ≤ Δ_(i-1) -
机译:优选的附接图是通过在每个时间步骤中添加新顶点的随机图,其中单个边缘,其指向随机选择的顶点,其概率与其程度成比例。每个M个步骤最近添加的M个顶点都被收缩到单个顶点中,因此在时间t大致有T / M顶点,恰好是T边缘。该过程产生了一个图表,该图已被提出为万维网的简单模型[Ba99]。对于任何常数k,让Δ_1>Δ_2≥1··≥Δ_k是k最高度顶点的度。我们表明,在时间t,对于任何功能f(t)→∞作为t→∞,(t〜(1/2))/(f(t))≤Δ_1≤t〜(1/2)f (t),对于i = 2,...,k,(t〜(1/2))/(f(t))≤Δ_i≤Δ_(i-1) -

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