Definition

Unique Social Volume is build 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 two separate metrics for the unique social volume:

  • unique_social_volume_total_5m
  • unique_social_volume_total_1h

The 5m and 1h 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 aggresive 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 less or equal values.


Access

Restricted Access.


Measuring Unit

Amount of distinct documents that mention the given text pattern.


Data Type

Timeseries Data


Frequency

Five-Minute Intervals One-Hour Intervals


Latency

Social Data Latency


Available Assets

Available for these assets

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


SanAPI

Available under the unique_social_volume_total_5m and unique_social_volume_total_1h names.

Unique Social Volume computed on 5 minute intervals

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{
  getMetric(metric: "unique_social_volume_total_5m") {
    timeseriesData(
      selector: { slug: "santiment" }
      from: "2017-11-01T00:00:00Z"
      to: "2020-12-31T00:00:00Z"
      interval: "1w"
    ) {
      datetime
      value
    }
  }
}

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Unique Social Volume computed on 1 hour intervals

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{
  getMetric(metric: "unique_social_volume_total_1h") {
    timeseriesData(
      selector: { slug: "santiment" }
      from: "2017-11-01T00:00:00Z"
      to: "2020-12-31T00:00:00Z"
      interval: "1w"
    ) {
      datetime
      value
    }
  }
}

Run in Explorer

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