4 datasets tagged as the tag “Computer science”.
4 datasets.
A DBLP Computer Science Bibliography dataset of 5,425,963 nodes and 8,649,016 edges, collected by KONECT via DBLP database. Each record contains directed: False, weighted: False. Large bipartite network linking 1.4M authors to 4M papers in DBLP — one of the largest academic bipartite networks available.. Suitable for academic collaboration analysis, authorship networks, bipartite graph research.
A Stack Exchange (cs.stackexchange.com) dataset of 24,745 users, 45,645 answer-collaboration edges, 48,390 questions, 56,255 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 cs.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..
A DBLP (co-authorship network) dataset of 317,080 nodes and 1,049,866 edges, collected by Yang & Leskovec from DBLP bibliography (2012). Each record contains author-author co-authorship edges and publication-venue communities. The dataset is notable for its academic collaboration network with ground-truth communities from publication venues. Intended for research into community detection, network evolution, and scientific collaboration analysis.
A DBLP Computer Science Bibliography dataset of 12,591 nodes and 49,743 edges, collected by KONECT via DBLP database. Each record contains directed: True, weighted: False. Directed citation network of computer science papers in the DBLP bibliography.. Suitable for citation network analysis, academic influence, community detection.
Stack Exchange