Fitness

3 datasets tagged as the tag “Fitness”.

3 datasets.

rtGender — Fitocracy Analyzed

A Fitocracy dataset of 318,535 posts, 318,535 responses, collected by Peixian and Zhang. Each record contains posts, responses, op_gender, responder_gender, sentiment, relevance. rtGender dataset for Fitocracy — studies gendered responses in online discourse. Suitable for gender studies, sentiment analysis, response prediction.

637.1K records760.6K nodes892.1K edges2018

Instagram Influencer Dataset — Fitness Analyzed

A Instagram (fitness influencers) dataset of 319,414 posts from fitness influencers, collected by Seungbae Kim and Jinyoung Han (2020). Each record contains post caption text, like count, comment count, video/ad flags, tagged user count, location presence, image dimensions, timestamp, and influencer follower count. The dataset is notable for its subset of 9.7M-post Instagram influencer dataset covering the fitness category, with rich per-post engagement signals and influencer-level metadata. Intended for research into influencer marketing analysis, engagement prediction, social media content analysis, and sponsorship detection. This package holds the post metadata (one JSON .info file per post) and influencer lists; the post images, which the authors distribute separately on request, are not included.

319.4K records2020

Stack Exchange — fitness.stackexchange.com Analyzed

A Stack Exchange (fitness.stackexchange.com) dataset of 7,228 users, 15,385 answer-collaboration edges, 10,217 questions, 19,171 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from fitness.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

84.9K records7.2K nodes15.4K edges2025