A Study on Information Diffusion Mechanisms and Influence Enhancement Strategies for Textile Technology Achievements in Social Network Communication
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Abstract
Addressing issues such as slow diffusion speed, limited coverage, low user engagement, and poor conversion efficiency in the dissemination of textile technology achievements via social networks, this paper conducts an in-depth study on their information diffusion mechanisms and strategies for enhancing influence. The relevant achievements include not only conventional textile technologies but also functional textile innovations related to electromagnetic shielding materials, wearable antenna textiles, smart fabrics, and applied electromagnetic scenarios. First, drawing upon information diffusion theory and social network analysis methods, the structural characteristics of key disseminators, including core disseminators such as research institutions and enterprises, key intermediaries such as industry experts and opinion leaders, and ordinary users, are analyzed. This forms the basis for constructing a three-tier diffusion model of “source-intermediary-recipient”. Second, by scraping dissemination data from Weibo, WeChat, and Douyin platforms, the study explores the spatiotemporal evolution patterns of information diffusion and identifies key influencing factors across four dimensions: content characteristics, actor attributes, network structure, and platform environment. Third, a system dynamics model for information diffusion is established to simulate diffusion processes across different scenarios, revealing the underlying mechanisms of factor interactions. Finally, targeted influence enhancement strategies are proposed across four dimensions: content optimization, stakeholder collaboration, network restructuring, and platform adaptation.
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