Purpose

The purpose of this research is to investigate the time structure characteristics of collaborative knowledge production behaviors in Q&A (question-and-answer) communities for explicit and tacit knowledge, and systematically investigate the supply side and the demand side of knowledge production.

Design/methodology/approach

Taking Zhihu as the research object, using the methods of recurrence plot and recurrence quantification analysis, this paper analyzes the recursive characteristics of the motion trajectories of the three behavioral sequences of questioning, answering, and discussion, qualitatively and quantitatively analyzing the generation and evolution mechanism of explicit and tacit knowledge.

Findings

The results show that compared with the demand-side behavior sequence, the supply-side behavior sequence exhibits higher stability, complexity and periodicity. Compared with the tacit knowledge topics, the demand-side behavior sequence of the explicit knowledge topics shows stronger nonlinearity, and the supply-side behavior sequence shows lower complexity.

Originality/value

The research conclusions provide preliminary evidence for the effectiveness of the recurrence plot method in distinguishing different types of knowledge production behaviors and have important application value for the “crowdsourcing” knowledge generation and identification under the knowledge economy and the sustainable development of the socialized question-and-answer community.

中文翻译：

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显性知识和隐性知识视角下问答行为的递归量化分析——基于知乎话题标签的实证研究

目的

本研究旨在探讨显性知识和隐性知识问答社区协作知识生产行为的时间结构特征，系统考察知识生产的供给侧和需求侧。

设计/方法/方法

以知乎为研究对象，采用递推图和递推量化分析的方法，分析了提问、回答、讨论三个行为序列的运动轨迹的递推特征，定性和定量分析了生成演化机制。显性知识和隐性知识。

发现

结果表明，与需求侧行为序列相比，供给侧行为序列表现出更高的稳定性、复杂性和周期性。与隐性知识主题相比，显性知识主题的需求侧行为序列表现出更强的非线性，而供给侧行为序列表现出较低的复杂度。

原创性/价值

研究结论为递归图法在区分不同类型知识生产行为方面的有效性提供了初步证据，对知识经济下的“众包”知识生成和识别以及社会化问题的可持续发展具有重要的应用价值。 -回答社区。