Exploring the diffusion of digital fashion and influencers' social roles in the Metaverse: an analysis of Twitter hashtag networks

IF 5.9 3区 管理学 Q1 BUSINESS
HaeJung Maria Kim, Swagata Chakraborty
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Abstract

Purpose The study aims to explore the digital fashion trend within the Metaverse, characterized by non-fungible tokens (NFTs), across Twitter networks. Integrating theories of diffusion of innovation, two-step flow of communication and self-efficacy, the authors aimed to uncover the diffusion structure and the influencer's social roles undertaken by social entities in fostering communication and collaboration for the advancement of Metaverse fashion. Design/methodology/approach Social network analysis examined the critical graph metrics to profile, visualize, and cluster the unstructured network data. The authors used the NodeXL program to analyze two hashtag keyword networks, “#metaverse fashion” and “#metawear,” using Twitter API data. Cluster, semantic, and time series analyses were performed to visualize the contents and contexts of communication and collaboration in the diffusion of Metaverse fashion. Findings The results unraveled the “broadcast network” structure and the influencers' social roles of opinion leaders and market mavens within Twitter's “#metaverse fashion” diffusion. The roles of innovators and early adopters among influencers were comparable in collaborating within the competition venues, promoting awareness and participation in digital fashion diffusion during specific “fad” periods, particularly when digital fashion NFTs and cryptocurrencies became intertwined with the competition in the Metaverse. Originality/value The study contributed to theory building by integrating three theories, emphasizing effective communication and collaboration among influencers, organizations, and competition venues in broadcasting digital fashion within shared networks. The validation of multi-faceted Social Network Analysis was crucial for timely insights, highlighting the critical digital fashion equity in capturing consumers' attention and driving engagement and ownership of Metaverse fashion.
探索数字时尚的传播和网红在虚拟世界中的社会角色:对Twitter标签网络的分析
该研究旨在探索以Twitter网络上的不可替代代币(nft)为特征的Metaverse中的数字时尚趋势。结合创新扩散理论、传播两步流理论和自我效能理论,揭示社会实体在促进跨界时尚传播与合作中所扮演的扩散结构和影响者的社会角色。设计/方法/方法社交网络分析检查了关键的图表指标,以描述、可视化和聚类非结构化网络数据。作者使用NodeXL程序分析了两个标签关键字网络,“#metaverse fashion”和“#metawear”,使用Twitter API数据。通过集群分析、语义分析和时间序列分析,可视化了以Metaverse方式传播的通信和协作的内容和上下文。研究结果揭示了“广播网络”结构以及意见领袖和市场专家在Twitter“#metaverse时尚”传播中的社会角色。创新者和早期采用者在比赛场地内的合作,在特定的“时尚”时期促进对数字时尚传播的认识和参与,特别是当数字时尚nft和加密货币与虚拟世界的竞争交织在一起时,在影响者中扮演的角色是相当的。本研究整合了三个理论,强调在共享网络中传播数字时尚时,影响者、组织和比赛场地之间的有效沟通和协作,有助于理论构建。多面社交网络分析的验证对于及时洞察至关重要,突出了数字时尚在吸引消费者注意力、推动Metaverse时尚参与和所有权方面的关键价值。
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来源期刊
Internet Research
Internet Research 工程技术-电信学
CiteScore
11.20
自引率
10.20%
发文量
85
审稿时长
>12 weeks
期刊介绍: This wide-ranging interdisciplinary journal looks at the social, ethical, economic and political implications of the internet. Recent issues have focused on online and mobile gaming, the sharing economy, and the dark side of social media.
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