Walks: A Beginner's Guide to Graphs and Matrices

Yuki Irie
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Abstract

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.
步行:初学者的指南,图形和矩阵
我们将介绍图论和线性代数。本文由两部分组成。在第一部分中,我们回顾了传递矩阵方法。众所周知,许多枚举问题可以简化为计算图中的行走次数。在回顾了线性代数的基础知识之后,我们用特征值来计算图中的行走次数。在第二部分中,我们使用随机漫步模型介绍了PageRank。PageRank是一种估计网页重要性的方法,是最成功的算法之一。本文基于作者2018年和2020年在东北大学的演讲。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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