通过网络分析揭示用户在 Stack Exchange 上的参与模式

Agnik Saha, Mohammad Shahidul Kader, Mohammad Masum
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引用次数: 0

摘要

问答平台 Stack Exchange 显示出用户参与度下降的迹象。本文研究了 Stack Exchange 各个社区的用户参与动态,包括数据科学、人工智能、软件工程、项目管理和 GenAI。我们提出了一个网络图,将用户表示为节点,将他们之间的互动表示为边。我们通过关键的网络指标(包括度中心性、间中心性和 PageRank)来探索管理模式。研究结果表明,这些平台上的社区动态各不相同,规模较小的社区显示出更集中的用户影响力,而规模较大的平台则显示出更分散的参与度。此外,研究结果还揭示了用户角色、影响力以及提高参与度的潜在策略。这项研究有助于人们了解在线社区行为,并为今后改善 Stack Exchange 用户体验的研究提供了一个框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Unveiling User Engagement Patterns on Stack Exchange Through Network Analysis
Stack Exchange, a question-and-answer(Q&A) platform, has exhibited signs of a declining user engagement. This paper investigates user engagement dynamics across various Stack Exchange communities including Data science, AI, software engineering, project management, and GenAI. We propose a network graph representing users as nodes and their interactions as edges. We explore engagement patterns through key network metrics including Degree Centerality, Betweenness Centrality, and PageRank. The study findings reveal distinct community dynamics across these platforms, with smaller communities demonstrating more concentrated user influence, while larger platforms showcase more distributed engagement. Besides, the results showed insights into user roles, influence, and potential strategies for enhancing engagement. This research contributes to understanding of online community behavior and provides a framework for future studies to improve the Stack Exchange user experience.
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