Collators aggregate parachain transactions block candidates and producing state transition proofs for validators based on those blocks.

Subsocial is a social platform powered by Polkadot Relay chain.

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Subsocial

# Subsocial Block time Methodology

## 1. Overview

Block time measures the average time interval between consecutive blocks on the Subsocial blockchain, expressed in milliseconds and aggregated daily. This metric indicates network performance and block production consistency. The calculation determines time differences between consecutive blocks, then averages these intervals by day to provide daily block time measurements.

## 2. Data sources

- **Subsocial blockchain block data**: Raw block records from the Subsocial network containing block timestamps and block numbers for each produced block

## 3. Step-by-step calculation

### Component A: Block data extraction
- **Purpose**: Extract valid block timestamps and numbers from Subsocial blockchain
- **Logic**: Retrieve block timestamp and block number from raw Subsocial block data. Filter out the genesis block (block number 0) as it has an artificial timestamp at Unix epoch start. For incremental processing, include recent blocks based on lookback period configuration
- **Key fields**: `block_timestamp` (when block was produced), `block_number` (sequential block identifier)

### Component B: Time series preparation  
- **Purpose**: Create consecutive block pairs for time difference calculation
- **Logic**: Order blocks by block number ascending and use window function to get the previous block's timestamp for each current block. This creates pairs of consecutive blocks needed for interval calculation
- **Key fields**: `block_timestamp` (current block time), `previous_timestamp` (preceding block time), `block_number` (for ordering)

### Component C: Block interval calculation
- **Purpose**: Calculate time differences between consecutive blocks
- **Logic**: Compute millisecond differences between each block timestamp and its preceding block timestamp. Truncate timestamps to daily boundaries for aggregation grouping. Exclude the first block since it has no predecessor
- **Key fields**: `timestamp` (daily boundary), `block_time` (milliseconds between blocks)

### Final aggregation
- **Combining components**: Group block time measurements by day and calculate average block time for each day
- **Currency conversion**: Not applicable - block time is measured in milliseconds
- **Time aggregation**: Daily aggregation using timestamp truncation to day boundaries
- **Final calculation**: Average block time per day calculated using mean of all block intervals within each daily period, with standard metric finalization including fill-zeros strategy for missing days and chain availability filtering

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

avg(block_timestamp - previous_block_timestamp)

SubsocialSUB

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Block time

Block time

Competitive landscape

Chain breakdown