Meta discussion

Stack Exchange — meta.stackexchange.com Analyzed

A Stack Exchange (meta.stackexchange.com) dataset of 27,034 users, 108,639 answer-collaboration edges, 99,770 questions, 150,180 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 meta.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..

1.2M records27K nodes108.6K edges2025

graphtext

Stack Exchange Academic Engagement Knowledge sharing+2

Voat — v/voatdev Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 3,080 submissions, 9,518 comments, 1,927 users, 3,875 collaboration edges, collected by Mekacher & Papasavva (ICWSM 2022) via full platform crawl. Each record contains user nodes (registration date, moderation status), directed weighted edges (commenter→submitter, weight=upvotes+1), submission titles and bodies, comment text, upvotes, downvotes, depth. Complete dataset for the Voat subverse v/voatdev, covering its full lifetime on the platform (2013–2020). Includes all 3,080 submissions and 9,518 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

14.1K records1.9K nodes3.9K edges2022

graphtext

Voat Engagement Hate speech Social graph+1