A Academia.edu dataset of 200,169 academics, 1,022,883 connections, collected by Fire et al. (2011) via Academia.edu platform. Each record contains undirected edges between academics, representing follows or connections between researchers on the platform. Academic social network capturing researcher connections on Academia.edu, a platform for sharing research papers and tracking scholarly impact. Suitable for link prediction, academic network analysis, scholarly collaboration studies, research impact analysis.
A Google Scholar dataset of 82,937 papers, 148,116 citations, collected by Google Scholar via academic citation data. Each record contains citation edges between papers, node IDs, node names (titles), node types (paper, author, etc.), edge types (cites, etc.). Academic citation network from Google Scholar, capturing the flow of scientific knowledge through citation relationships. Suitable for citation analysis, academic network analysis, research impact, knowledge flow studies, scholarly communication.