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
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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。

Who Leads Trends on Q&A Platforms? Identifying and Analyzing Trend Discoverers

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.

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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.
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