A Google+ dataset of 211,187 users, 1,506,896 circle memberships, collected by Fire et al. via Google+ API (2013). Each record contains directed edges between Google+ users representing circle memberships (user → circle). Google+ social graph capturing directed circle relationships, where users add others to their circles, creating a directed social graph structure. Suitable for link prediction, social network analysis, community detection, circle-based social behavior analysis.
A Google+ (now defunct) dataset of 102,100 nodes and 13,548,655 directed edges across 132 ego networks with ground-truth circles, collected by McAuley and Leskovec (Stanford, 2012) from public Google+ profiles. Each record contains directed follow edges, ground-truth circle memberships (Google+ circles shared publicly), anonymized node feature vectors representing profile attributes. 133 Google+ ego networks with publicly shared ground-truth circles from users who voluntarily released their circle data, providing a uniquely clean community ground-truth from a directed social platform. Suitable for overlapping community detection, ego network analysis, directed social circle inference, link prediction.
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.
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