数字内容平台双层网络交互关系、价值影响机制及需求效应研究

Research on the Dynamic Interaction Relationship, Value Impact Mechanism, and Demand Effect of the Dual Layer Network of Digital Content Platforms

摘要: 在数字经济高质量发展背景下，短视频、知识分享等数字内容平台影响日益重要，其中平台推荐算法和社交关系对用户信息行为的叠加影响日益加深。本文基于算法与社交相互作用视角，首先从理论上分析了基于算法的内容网络与社交网络耦合关系及演化特点；其次，探索了双层网络耦合对平台需求产生的数量及品味等效应及其对平台价值创造和内容创作的影响机制；再次，分析不同平台案例，发现双层网络会促进内容多样化、适度社区分割与跨社区连接有助于平衡内容差异性、较高社交网络密度会加速了同质内容传播等；最后，本文提出了完善平台治理相关建议。

Abstract: In the context of high-quality development of the digital economy, the influence of digital content platforms such as short videos and knowledge sharing is becoming increasingly important. Among them, the combined impact of platform recommendation algorithms and social relationships on user information behavior is deepening. This article is based on the perspective of the synergistic influence of recommendation algorithms and social mechanisms. Firstly, it theoretically analyzes the coupling relationship and evolutionary characteristics between content networks and social networks based on algorithms; Secondly, the effects of dual layer network coupling on the quantity and taste of platform demand, as well as its impact mechanism on platform value creation and content production, were explored; Again, analyzing cases from different platforms, it was found that dual layer networks promote content diversity, moderate community segmentation and cross community connections help balance content diversity, and higher social network density accelerates the dissemination of homogeneous content; Finally, this article proposes suggestions for improving platform governance.