For fighting against COVID-19 pandemic, open and comprehensive big data may help researchers, officials, medical staffs and crowds to understand the virus and pandemic more. The team have been collecting all kinds of open datasets about COVID-19 and keeps updating everyday. The datasets include pandemic, research, knowledge graph, media reports and so on.

The data set is designed for research purpose only. The citation data is extracted from DBLP, ACM, and other sources. The first version contains 629,814 papers and 632,752 citations. Each paper is associated with abstract, authors, year, venue, and title.更多

citation and coauthor networks更多

This data set contains 6 different networks: Epinions, Slashdot, MobileU, MobileD, Coauthor, and Enron.更多

Co-author set consists of authors and coauthor relationship chosen from ArnetMiner. The dataset consists of 8 topics:更多

The dataset is collected for the purpose of cross domain recommendation.更多

Citation network consists of paper and citation relationship chosen from ArnetMiner. The raw citation data consists of 2555 papers and 6101 citation relationship. The papers are mainly from 10 research fields:更多

This data set includes three different real-world social networks:更多

An evolving coauthor network with 27 time stamps更多

Created for researcher profile extraction更多