谁在问答平台上引领趋势?识别和分析趋势发现者

IF 1.7 4区 工程技术 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Complexity Pub Date : 2024-10-19 DOI:10.1155/2024/2011436
Yongning Li, Lun Zhang, Ye Wu, Tianlan Wei
{"title":"谁在问答平台上引领趋势?识别和分析趋势发现者","authors":"Yongning Li,&nbsp;Lun Zhang,&nbsp;Ye Wu,&nbsp;Tianlan Wei","doi":"10.1155/2024/2011436","DOIUrl":null,"url":null,"abstract":"<div>\n <p>Q&amp;A platforms are vital sources of information but often face challenges related to their high ratios of passive to active contributors, which can impede knowledge construction and information exchange on the platforms. This study introduced a novel method for identifying trend discoverers, key users who can detect and initiate discussions on emerging question trends, through response order analysis of data from Zhihu and Stack Overflow. This study underscores the significant role of trend discoverers in influencing question popularity. Trend discoverers not only exhibit higher engagement in knowledge-sharing activities but also participate in discussions across a broader range of topics compared to regular users. The insights derived from this research have crucial implications for improving the development and functionality of Q&amp;A platforms.</p>\n </div>","PeriodicalId":50653,"journal":{"name":"Complexity","volume":null,"pages":null},"PeriodicalIF":1.7000,"publicationDate":"2024-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/2011436","citationCount":"0","resultStr":"{\"title\":\"Who Leads Trends on Q&A Platforms? Identifying and Analyzing Trend Discoverers\",\"authors\":\"Yongning Li,&nbsp;Lun Zhang,&nbsp;Ye Wu,&nbsp;Tianlan Wei\",\"doi\":\"10.1155/2024/2011436\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n <p>Q&amp;A platforms are vital sources of information but often face challenges related to their high ratios of passive to active contributors, which can impede knowledge construction and information exchange on the platforms. This study introduced a novel method for identifying trend discoverers, key users who can detect and initiate discussions on emerging question trends, through response order analysis of data from Zhihu and Stack Overflow. This study underscores the significant role of trend discoverers in influencing question popularity. Trend discoverers not only exhibit higher engagement in knowledge-sharing activities but also participate in discussions across a broader range of topics compared to regular users. The insights derived from this research have crucial implications for improving the development and functionality of Q&amp;A platforms.</p>\\n </div>\",\"PeriodicalId\":50653,\"journal\":{\"name\":\"Complexity\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2024-10-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/2011436\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Complexity\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1155/2024/2011436\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Complexity","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1155/2024/2011436","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0

摘要

问答平台是重要的信息来源,但往往面临着被动贡献者与主动贡献者比例过高的挑战,这会阻碍平台上的知识构建和信息交流。本研究通过对来自知乎和 Stack Overflow 的数据进行响应顺序分析,引入了一种新方法来识别趋势发现者,即能够发现并发起对新兴问题趋势讨论的关键用户。本研究强调了趋势发现者在影响问题流行度方面的重要作用。与普通用户相比,趋势发现者不仅在知识共享活动中表现出更高的参与度,而且参与讨论的话题范围也更广。这项研究得出的见解对于改进问答平台的开发和功能具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Who Leads Trends on Q&A Platforms? Identifying and Analyzing Trend Discoverers

Q&A platforms are vital sources of information but often face challenges related to their high ratios of passive to active contributors, which can impede knowledge construction and information exchange on the platforms. This study introduced a novel method for identifying trend discoverers, key users who can detect and initiate discussions on emerging question trends, through response order analysis of data from Zhihu and Stack Overflow. This study underscores the significant role of trend discoverers in influencing question popularity. Trend discoverers not only exhibit higher engagement in knowledge-sharing activities but also participate in discussions across a broader range of topics compared to regular users. The insights derived from this research have crucial implications for improving the development and functionality of Q&A platforms.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Complexity
Complexity 综合性期刊-数学跨学科应用
CiteScore
5.80
自引率
4.30%
发文量
595
审稿时长
>12 weeks
期刊介绍: Complexity is a cross-disciplinary journal focusing on the rapidly expanding science of complex adaptive systems. The purpose of the journal is to advance the science of complexity. Articles may deal with such methodological themes as chaos, genetic algorithms, cellular automata, neural networks, and evolutionary game theory. Papers treating applications in any area of natural science or human endeavor are welcome, and especially encouraged are papers integrating conceptual themes and applications that cross traditional disciplinary boundaries. Complexity is not meant to serve as a forum for speculation and vague analogies between words like “chaos,” “self-organization,” and “emergence” that are often used in completely different ways in science and in daily life.
期刊最新文献
Western North American Cruise Shipping Network: Space Structure and System Improving the Machine Learning Stock Trading System: An N-Period Volatility Labeling and Instance Selection Technique Who Leads Trends on Q&A Platforms? Identifying and Analyzing Trend Discoverers Transient Stability Assessment Model With Sample Selection Method Based on Spatial Distribution Stability Analysis and Simulation of Diffusive Vaccinated Models
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1