Fashion Signals on Community Trends & Digital Style Engagement

**Overview** Discover a rich, structured dataset sourced from a dynamic fashion-focused social platform where creativity meets community. This unique dataset captures the pulse of digital fashion culture through user-generated content, social interaction, and trend-driven challenges. Users on the platform express their personal style by creating and sharing interactive posts—participating in fashion challenges, engaging with peer content, and forming communities around aesthetic themes. Every interaction is logged, structured, and made accessible through six well-connected tables, enabling granular and scalable analysis. Whether you're looking to: - Analyze digital fashion trends as they emerge in real-time, - Understand creator behavior and engagement loops, - Uncover community influence dynamics, - Benchmark content performance across formats, or - Train AI models for fashion recommendation, trend forecasting, or social modeling—this dataset delivers the depth, structure, and context you need. **Use cases** It’s a powerful resource for: - Data scientists exploring predictive behavior and trend diffusion, - Marketers crafting targeted strategies based on community insights, - Product teams building next-gen fashion experiences, and - AI researchers modeling cultural signals from fashion-forward user activity. **Product details** See the included tables and their attributes below: - User (User-level attributes and engagement stats) User ID, gender, creation date, last login, follower count, share-to-feed count - Group (User-created fashion communities and their content) Group ID, name, owner, description, member count, outfit/item/text counts, type - GroupMember (Links users to groups and defines their role and status) Member ID, group ID, user ID, isOwner flag, status, join/update timestamps - Contest (Fashion contests created on the platform, including schedule and themes) Contest ID, name, active status, start/end dates, featured item, image - Contest_Item (Entries submitted to contests by users) Item ID, contest ID, layer3 item reference, creation and update timestamps - Contest_Winner (Records of contest winners and their outfit combinations) Winner ID, contest ID, winner name, associated outfit activity - Hashtag (Trend tracking for fashion tags used on posts) Hashtag ID, name, usage count, creation/update dates