FITViz: An Interactive Visualization Framework for Demonstrating Fashion Influence through Social Media Influencer Interactions

Social media has transformed how fashion trends are influenced, with fashion influencers playing a crucial role in shaping public perception and purchasing decisions. To better understand and visualize the influence of these key figures, we present FITViz, an interactive visualization framework designed to analyze the interactions between social media influencers within the fashion domain. FITViz leverages data from Twitter to uncover patterns of communication, network effects, and the spread of influence among influencers, brands, media, and niche communities. Through a user study, we demonstrate the tool’s effectiveness in aiding non-technical professionals in exploring influencer interactions and gaining insights into fashion trends. Our findings highlight the utility of FITViz in identifying niche communities, exploring influencers’ networks, and uncovering potential collaborations. The results provide valuable design insights for future interactive tools focused on social media influence in the fashion industry.

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Publication Details

Published
2024-12-28
DOI
https://doi.org/10.1145/3688828.3699643
Primary Topic
Digital Games and Media
Type
article
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article

FITViz: An Interactive Visualization Framework for Demonstrating Fashion Influence through Social Media Influencer Interactions

Jinda Han, Kamarajan Thiyagarajan, Mengyao Guo, Li Zhao et al.
Digital Games and Media
article

FITViz: An Interactive Visualization Framework for Demonstrating Fashion Influence through Social Media Influencer Interactions

Jinda Han, Kamarajan Thiyagarajan, Mengyao Guo, Li Zhao, Wenbo Ding
article en

Abstract

Social media has transformed how fashion trends are influenced, with fashion influencers playing a crucial role in shaping public perception and purchasing decisions. To better understand and visualize the influence of these key figures, we present FITViz, an interactive visualization framework designed to analyze the interactions between social media influencers within the fashion domain. FITViz leverages data from Twitter to uncover patterns of communication, network effects, and the spread of influence among influencers, brands, media, and niche communities. Through a user study, we demonstrate the tool’s effectiveness in aiding non-technical professionals in exploring influencer interactions and gaining insights into fashion trends. Our findings highlight the utility of FITViz in identifying niche communities, exploring influencers’ networks, and uncovering potential collaborations. The results provide valuable design insights for future interactive tools focused on social media influence in the fashion industry.

University of Illinois Urbana-Champaign (US), Harbin Institute of Technology (CN), Anna University, Chennai (IN), University of Missouri (US)
Reduced inequalities
Openalex Percentile: Top 60%
Digital Games and Media
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