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.

github

twitter

discord

website

Blockchains (L1)

Internet Computer

# Internet Computer NNS proposals Methodology

## 1. Overview

The NNS Proposals metric measures the daily number of new Network Nervous System (NNS) proposals submitted on the Internet Computer blockchain. This metric tracks governance activity by calculating the incremental daily count of proposals from cumulative totals. It provides insight into the level of community and governance engagement on the Internet Computer network.

## 2. Data sources

- **Internet Computer network statistics**: Scraped data from the Internet Computer network containing daily cumulative statistics
- **JSON data structure**: Daily statistics arrays containing proposal counts and timestamps
- **Scraper insertion metadata**: Timestamps indicating when data was collected and inserted, used for deduplication

## 3. Step-by-step calculation

### Component A: Raw data extraction and deduplication
- **Purpose**: Extract and clean cumulative NNS proposal counts from scraped network statistics
- **Logic**: Parse JSON data from the Internet Computer scraper to extract daily cumulative proposal counts. The scraper may collect multiple data points for the same day at different times, so deduplication is performed by selecting the most recently inserted data point for each day. This ensures only the latest and most accurate cumulative count is used for each date.
- **Key fields**: `day` timestamp from JSON data, `proposals_count` as the cumulative number of proposals, `inserted_at` timestamp for deduplication

### Component B: Cumulative to incremental conversion
- **Purpose**: Convert cumulative proposal counts into daily incremental counts representing new proposals submitted each day
- **Logic**: Apply a window function to calculate the difference between each day's cumulative count and the previous day's cumulative count. This transformation converts the running total of all proposals ever submitted into the specific number of new proposals submitted on each individual day. The first day in the dataset is excluded since there is no previous day for comparison.
- **Key fields**: `amount` as the daily incremental proposal count calculated from the difference, `previous_amount` from the LAG function

### Final aggregation
- **Combining components**: The daily incremental proposal counts flow directly from the conversion step without additional aggregation
- **Currency conversion**: Not applicable - this is a count metric
- **Time aggregation**: Data is already at daily granularity with no further time-based aggregation needed
- **Final calculation**: The final metric value is the daily incremental count of new NNS proposals, standardized through the finalize_metric_nns_proposals macro which adds business metadata fields including blockchain classification, market sector, and version information. Chain availability filtering is applied to ensure data quality standards are met.

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

Internet ComputerICP

NNS proposals

NNS proposals

Competitive landscape