Unique Social Volume

Unique Social Volume is built on top of the Social Data.

The Unique Social Volume is the same type of aggregation on top of the social data as the Social Volume, but it takes into account only the unique text documents for each interval, i.e., completely duplicated messages will be excluded from the calculations, which results in a slightly lower and to some degree cleaner way to measure the volume of mentions for a given asset or word.

There are three separate metrics for the unique social volume:

• unique_social_volume_total_5m
• unique_social_volume_total_1h
• unique_social_volume_total_1d

The 5m, 1h and 1d control what range of data is used. If some spam messages are posted in the span of 30 minutes, then every one of the six 5-minute buckets would have one copy of that message. In the case of 1h, all these messages would be reduced to a single one, thus providing more aggressive spam filtering.

When comparing unique_social_volume_total_1h and unique_social_volume_total_5m aggregated at 1h intervals, the unique_social_volume_total_1h will always have fewer or equal values.

We constantly update our labels, which helps us keep them as fresh as possible but results in historical data changes. Any modifications to labels, social sources, or relevant jobs will prompt recalculation for the previous month’s data. Within a 12-hour period, the metric can be supplemented with new data.

Restricted Access.

Amount of distinct documents that mention the given text pattern.

Timeseries Data

Five-Minute Intervals One-Hour Intervals

Social Data Latency

Available for these assets

Note: All the unique social volume metrics are available for the same set of assets.

Available under the:

• unique_social_volume_total_5m
• unique_social_volume_total_1h
• unique_social_volume_total_1d
• unique_social_volume_telegram_5m
• unique_social_volume_telegram_1h
• unique_social_volume_telegram_1d
• unique_social_volume_reddit_5m
• unique_social_volume_reddit_1h
• unique_social_volume_reddit_1d
• unique_social_volume_twitter_5m
• unique_social_volume_twitter_1h
• unique_social_volume_twitter_1d
• unique_social_volume_bitcointalk_5m
• unique_social_volume_bitcointalk_1h
• unique_social_volume_bitcointalk_1d
• unique_social_volume_4chan_5m
• unique_social_volume_4chan_1h
• unique_social_volume_4chan_1d
• unique_social_volume_farcaster_5m
• unique_social_volume_farcaster_1h
• unique_social_volume_farcaster_1d

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{
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  getMetric(metric: "unique_social_volume_total_5m") {
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    timeseriesDataJson(
4
      selector: { slug: "santiment" }
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      from: "2017-11-01T00:00:00Z"
6
      to: "2020-12-31T00:00:00Z"
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      interval: "1w"
8
    )
9
  }
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}

1
{
2
  getMetric(metric: "unique_social_volume_total_1h") {
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    timeseriesDataJson(
4
      selector: { slug: "santiment" }
5
      from: "2017-11-01T00:00:00Z"
6
      to: "2020-12-31T00:00:00Z"
7
      interval: "1w"
8
    )
9
  }
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}