Fashion Trendsetters Prediction

Student: Valiullina Dilyara

Supervisor: Sergey Lisitsyn

Educational Programme: Big Data Systems (Master)

Year of Graduation: 2021

Nowadays life spins a lot around social networks. They became a significant platform for brands to promote their products – both on their own profiles and in collaboration with bloggers and influencers. Loads of people use social networks to find inspiration for their own style or to keep up with the latest trends. Fashion always strives to new ideas and innovations, therefore, digitalization of the life has a direct impact on the fashion industry. This master thesis work is aimed to predict the possibility of a certain profile to become a trendsetter in the Instagram social network.

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