This is a temporal higher-order network dataset, which here means a sequence of timestamped simplices where each simplex is a set of nodes. Under the Drug Listing Act of 1972, the U.S. Food and Drug Administration releases information on all commercial drugs going through the regulation of the agency, forming the National Drug Code (NDC) Directory. In this dataset, each simplex corresponds to a drug and the nodes are class labels applied to the drugs. Timestamps are in days and represent when the drug was first marketed. We restricted to simplices that consist of at most 25 nodes. Some basic statistics of this dataset are:

• number of nodes: 1,161
• number of timestamped simplices: 49,724
• number of unique simplices: 1,222
• number of edges in projected graph: 6,222

Data restricted to simplices with at most 25 nodes:

• NDC-classes.tar.gz (timestamped simplices, node labels, and simplex labels)
• NDC-classes-proj-graph.tar.gz (weighted projected graph)

Full data without restriction on simplex size:

• NDC-classes-full.tar.gz (timestamped simplices, node labels, and simplex labels)
• NDC-classes-full-proj-graph.tar.gz (weighted projected graph)

If you use this data, please cite the following paper:

• Simplicial closure and higher-order link prediction.
  Austin R. Benson, Rediet Abebe, Michael T. Schaub, Ali Jadbabaie, and Jon Kleinberg.
  Proceedings of the National Academy of Sciences (PNAS), 2018. [bibtex]