Time Series Analysis

Analyze how document and relationship counts change over time for specific actors in the AI supply chain. Enter up to 5 actor names and optionally specify a date range and time chunk length. This will yield time series charts showing the number of documents mentioning the actor and the number of relationships involving the actor over time. Note that our method does not capture all relationships in the AI supply chain and often double counts single relationships, so these numbers should be taken as a reflection of our data sources and the relationships revealed by them.

Actor/Organization Name

Start Date

End Date

Time Chunk

Time Series Analysis

Enter the name of an actor, company, or organization to generate time series plots showing how the number of documents and actor pairs containing that entity changes over time.

Document Count

Counts unique sources that mention the actor. Each document (SEC filing or news article) is counted only once per time period, regardless of how many relationships it contains.

Example: If 3 different SEC filings mention "OpenAI", the document count is 3.

Actor Pair Count

Counts unique relationships involving the actor. Each relationship (e.g., "OpenAI-Microsoft") is counted only once per time period, regardless of how many documents mention it.

Example: If "OpenAI" appears in relationships with "Microsoft", "Google", and "NVIDIA", the actor pair count is 3.