PageRank的知识扩散轨迹:主要路径分析

IF 1.8 4区管理学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS

Journal of Information Science Pub Date : 2023-04-18 DOI:10.1177/01655515231167388

Dejian Yu, Zhao Yan

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引用次数: 1

摘要

在互联网和大数据时代，PageRank (PR)算法是一个不断发展的研究领域。然而，目前还没有系统的研究来探讨公关领域的整体发展趋势。本文评估了1446篇与PR算法相关的文章，并通过主路径分析(MPA)对PR领域进行了全面的了解。通过两条基本的主要路径，已经确定了一些起主导作用的论文，它们概述了公关领域的主干。在分析多个主要路径的基础上，对四个主要分区进行了调查。社会关系的加速计算、社会关系的综合应用、学术影响评价和网络演化中的年龄偏好研究等。最后，本文讨论了研究成果和未来的发展方向。这是第一次尝试通过MPA来识别公关领域的发展趋势，从而洞察过去二十年公关领域的知识演变。

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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Knowledge diffusion trajectories of PageRank: A main path analysis

In the era of the Internet and big data, the PageRank (PR) algorithm is a constantly evolving research field. However, there is no systematic research to explore the overall development trend of the PR domain. This article evaluates 1446 articles related to the PR algorithm and provides a thorough understanding of the PR field through the main path analysis (MPA). Through two basic main paths, a number of papers that play a leading role have been identified, which outline the backbone of the PR domain. Based on the analysis of multiple main paths, four main subareas have been investigated. There are accelerating the computation of PR, comprehensive applications of PR, researches on academic impact assessment and age preference in network evolution. Finally, this article discusses the research findings and the future directions of the PR field. It is the first attempt to identify the development trend of the PR domain through MPA, thus providing an insight into the knowledge evolution of the PR field over the past two decades.

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来源期刊

Journal of Information Science 工程技术-计算机：信息系统

CiteScore

6.80

自引率

8.30%

发文量

121

审稿时长

4 months

期刊介绍： The Journal of Information Science is a peer-reviewed international journal of high repute covering topics of interest to all those researching and working in the sciences of information and knowledge management. The Editors welcome material on any aspect of information science theory, policy, application or practice that will advance thinking in the field.