This research examines how sustainable fashion goes viral in terms of social networks and the spread of information and the effects of the same on consumer behavior in the long run. The research examines how social media platforms can be used to provide sustainable fashion trends through the application of Social Network Analysis (SNA) using longitudinal data collection. The Gephi tool has been used to visually represent network structures, determine the key influencers, and trace the development of the adoption of fashions in various social network communities. The results show that key actors in dense networks play a vital role in fastening the spread of sustainable fashion whereas community-based relations lead to more engagement and adoption. Also, the longitudinal research revealed the opportunity to track the evolving behaviors of consumers and the long-term effects of social media exposure. This research has a lot to offer the fashion brands, marketers, and sustainability advocates who are interested in using the social networks to advertise environmentally-friendly fashionable products and initiate a long-term alteration in consumer culture
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