Node operators process transactions and receive token incentives. These independently owned high-spec node machines around the world are connected via Internet Computer Protocol (ICP), creating a self-sovereign network not reliant on any cloud services. Advanced cryptography allows any application or service to be run on the network in a decentralized manner via smart contracts.

The Internet Computer is a decentralized cloud blockchain, where apps can be built fully onchain, using AI, or by coding. Try caffeine.ai & icp.ninja.

ICP tokenholders own and govern the protocol. They currently take (burn) all of the total transaction fees paid by users (revenue). ICP Holders can stake their ICP on the Network Nervous System (NNS), an advanced fully on-chain DAO that facilitates liquid democracy. Staking ICP allows users to submit proposals, vote on proposals, and earn rewards for their participation in governance. Internet Computer's investors include Polychain, Scalar Capital, Amino Capital, etc.

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Internet Computer

# Internet Computer Total subnets Methodology

## 1. Overview

The Internet Computer total subnets metric tracks the cumulative number of subnets in the Internet Computer network over time. This metric provides visibility into the network's infrastructure growth by counting the total subnets available each day. The calculation extracts daily subnet counts from scraped Internet Computer network statistics and applies forward-filling to handle any gaps in the time series data.

## 2. Data sources

- **Internet Computer network statistics**: Daily subnet count data scraped from Internet Computer network APIs or official data feeds
- **External scraper data**: JSON-formatted daily statistics containing subnet counts and timestamps
- **Infrastructure metrics**: Network-level statistics tracking subnet availability and growth

## 3. Step-by-step calculation

### Component A: Raw data extraction
- **Purpose**: Extract and parse daily subnet count data from JSON statistics
- **Logic**: The calculation begins by accessing JSON-formatted daily statistics from the Internet Computer scraper data source. Each record contains a `daily_stats` array with individual day entries. The system extracts the `day` timestamp and `total_subnets` count from each entry in this array. The data is flattened from the nested JSON structure into individual daily records, with each record representing one day's subnet count.
- **Key fields**: `day` timestamp field converted to proper timestamp format, `total_subnets` numeric value representing the count of subnets, `inserted_at` timestamp tracking when the data was scraped

### Component B: Data deduplication
- **Purpose**: Handle multiple scraping attempts and select the most recent data for each day
- **Logic**: Since the scraper may collect the same day's data multiple times with updates, the system applies deduplication logic. For each unique day, it ranks all available records by their `inserted_at` timestamp in descending order using a row number window function. Only the record with row number 1 (the most recently inserted data) is retained for each day. This ensures that if subnet counts are updated or corrected in later scraping runs, the latest values are used.
- **Key fields**: `row_number` calculated by partitioning data by `timestamp` and ordering by `inserted_at` in descending order, with only records where `row_number` equals 1 being selected

### Final aggregation
- **Combining components**: The deduplicated daily subnet counts are passed through the `finalize_metric_total_subnets` macro, which standardizes the data schema and applies business metadata fields including chain identifier, business line categorization, and version information
- **Currency conversion**: Not applicable for this infrastructure metric as it represents counts rather than monetary values
- **Time aggregation**: Data is maintained at daily granularity with forward-filling applied to handle any missing days in the time series, ensuring continuous data availability
- **Final calculation**: The final metric value represents the total number of subnets in the Internet Computer network for each day, with gaps forward-filled using the most recent available subnet count

*This methodology was automatically generated by Token Terminal's methodology analyzer.*

Total number of active subnets in the Internet Computer network.

Internet ComputerICP

Total subnets

Total subnets

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