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Spectral Analysis of Dynamically Evolving Networks with Linear Preferential Attachment

机译:具有线性优先附件的动态演化网络的频谱分析

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This paper is devoted to study the eigenvalues of the adjacency matrix for the random graph process proposed by Barabasi and Albert in [2]. While many structural characteristics of the Barabasi-Albert (BA) process are well known, analytical results concerning its spectral properties are still an open question. In this paper, we present new results regarding the distribution of eigenvalues of the adjacency matrix associated to this random graph model. In particular, we derive closed-form expressions for the spectral moments of the adjacency matrix and study the evolution of the spectral moments as the network grows. Based on our results, we extract information regarding the evolution of the spectral radius of the adjacency matrix as the network grows.
机译:本文致力于研究Barabasi和Albert提出的随机图过程的邻接矩阵的特征值。虽然Barabasi-Albert(BA)过程的许多结构特征是众所周知的,但是关于其光谱特性的分析结果仍然是一个打开的问题。在本文中,我们提出了关于与该随机图模型相关的邻接矩阵的特征值的分布的新结果。特别地,我们导出邻接矩阵的光谱矩的闭合表达,并在网络增长时研究光谱矩的演变。根据我们的结果,随着网络增长,我们提取有关邻接矩阵光谱半径的演变的信息。

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