基于网络的主题结构可视化

IF 1.2 4区数学 Q2 STATISTICS & PROBABILITY

Journal of Applied Statistics Pub Date : 2024-06-27 DOI:10.1080/02664763.2024.2369953

Yeseul Jeon, Jina Park, Ick Hoon Jin, Dongjun Chung

引用次数: 0

摘要

在现实世界中，许多主题都是相互关联的，因此研究它们的结构和关系具有挑战性。了解主题之间的相互影响及其相关性，可以帮助您更好地理解这些主题。

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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Network-based topic structure visualization

In the real world, many topics are inter-correlated, making it challenging to investigate their structure and relationships. Understanding the interplay between topics and their relevance can provi...

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来源期刊

Journal of Applied Statistics 数学-统计学与概率论

CiteScore

3.40

自引率

0.00%

发文量

126

审稿时长

6 months

期刊介绍： Journal of Applied Statistics provides a forum for communication between both applied statisticians and users of applied statistical techniques across a wide range of disciplines. These areas include business, computing, economics, ecology, education, management, medicine, operational research and sociology, but papers from other areas are also considered. The editorial policy is to publish rigorous but clear and accessible papers on applied techniques. Purely theoretical papers are avoided but those on theoretical developments which clearly demonstrate significant applied potential are welcomed. Each paper is submitted to at least two independent referees.