微博热点话题发现的多标签传播聚类方法研究

Q2 Social Sciences

New Review of Information Networking Pub Date : 2022-07-03 DOI:10.1080/13614576.2022.2157858

Qixiang Wu, Lin He

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引用次数: 1

摘要

在信息爆炸的大背景下，人们生活水平的提高，使得电脑和手机进入了千家万户。在促进互联网普及的同时，它也使微博成为一个表达意见的平台。已经迅速发展起来。随着微博的不断发展，目前主流的微博平台包括新浪微博、腾讯微博、网易微博和搜狐微博。基于多标签传播思想，综合考虑节点相似度和节点寿命值，提出TCMLPA热词聚类算法，能有效提高舆情推荐的准确率。

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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Research on Multi-Tag Propagation Clustering Method for Microblog Hot Topic Discovery

ABSTRACT In the context of the information explosion, the improvement of people’s living standards has enabled computers and mobile phones to enter the homes of thousands of ordinary people. While promoting the popularization of the Internet, it has also enabled Weibo, a platform for expressing their opinions. Has been rapidly developed. With the continuous development of Weibo, the current mainstream Weibo platforms include Sina Weibo, Tencent Weibo, NetEase Weibo and Sohu Weibo. Based on the idea of multi-label propagation, this paper comprehensively considers node similarity and node life value and proposes the TCMLPA algorithm for hot word clustering, which can effectively improve the accuracy of public opinion recommendation.

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来源期刊

New Review of Information Networking Social Sciences-Education

CiteScore

2.10

自引率

0.00%

发文量

期刊介绍： Information networking is an enabling technology with the potential to integrate and transform information provision, communication and learning. The New Review of Information Networking, published biannually, provides an expert source on the needs and behaviour of the network user; the role of networks in teaching, learning, research and scholarly communication; the implications of networks for library and information services; the development of campus and other information strategies; the role of information publishers on the networks; policies for funding and charging for network and information services; and standards and protocols for network applications.