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  • 标题:Walks: A Beginner's Guide to Graphs and Matrices
  • 其他标题:Walks: A Beginner's Guide to Graphs and Matrices
  • 本地全文:下载
  • 作者:Yuki IRIE
  • 期刊名称:Interdisciplinary Information Sciences
  • 印刷版ISSN:1340-9050
  • 电子版ISSN:1347-6157
  • 出版年度:2020
  • 卷号:26
  • 期号:1
  • 页码:1-39
  • DOI:10.4036/iis.2020.A.01
  • 出版社:The Editorial Committee of the Interdisciplinary Information Sciences
  • 摘要:We provide an introduction to graph theory and linear algebra. The present article consists of two parts. In the first part, we review the transfer-matrix method. It is known that many enumeration problems can be reduced to counting walks in a graph. After recalling the basics of linear algebra, we count walks in a graph by using eigenvalues. In the second part, we introduce PageRank by using a random walk model. PageRank is a method to estimate the importance of web pages and is one of the most successful algorithms. This article is based on the author's lectures at Tohoku University in 2018 and 2020.
  • 关键词:Graphs;Walks;Eigenvalues;Transfer-Matrix Method;PageRank
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