Unique Social Volume

    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
    • 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 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.

    Please note that metrics may undergo changes in historical values due to automated recalculations triggered monthly. We constantly update our labels which helps us to keep labels as fresh as possible but result 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, metric can be supplemented with new data.


    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
    • 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

    Unique Social Volume computed on 5 minute intervals

    1
    2
    3
    4
    5
    6
    7
    8
    9
    10
    11
    12
    13
    {
      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
        }
      }
    }

    Run in Explorer


    Unique Social Volume computed on 1 hour intervals

    1
    2
    3
    4
    5
    6
    7
    8
    9
    10
    11
    12
    13
    {
      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