Social Dominance

Social Dominance shows the share of the discussions in crypto media that refer to a particular asset or phrase.

The metric is built on top of the Social Data.

We constantly update our labels, which helps us keep labels 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.

Social Dominance for an asset compares the Social Volume of that asset to the combined social volume of the 100 largest assets by marketcap.

Social Dominance of 50% for an asset means that the number of messages/posts that discuss this asset equals half the number of messages/posts that discuss the Top 100 assets.

This definition allows the social dominance of an asset to exceed 100%. This can happen for assets whose name and/or ticker is a very common English word.

Social Dominance for an arbitrary text phrase compares the Social Volume of that search term to the total number of documents available. This essentially computes the percentage of all documents that match this search term.

Restricted Access.

Number - % between 0 and 100

Timeseries Data

Change Metrics

Five-Minute Intervals

Social Data Latency

Available for these assets

Note: social_dominance_total metric and all metrics for a specific source are available for the same set of assets.

Combined Social Dominance from all sources for an asset can be seen on a project’s page.

Social Dominance for arbitrary search terms can be viewed from the trends page

and enabling the Social Dominance toggle on the next page that shows the result.

The combined social dominance from all sources is displayed

Available under the social_dominance_total and social_dominance_total_<source> names, where the available sources are:

• 4chan
• telegram
• reddit
• twitter
• bitcointalk
• youtube_videos
• farcaster
• total (combines all sources)

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{
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  getMetric(metric: "social_dominance_total") {
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    timeseriesDataJson(
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      selector: { slug: "santiment" }
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      from: "2020-01-01T00:00:00Z"
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      to: "2020-01-07T00:00:00Z"
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      interval: "1d"
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    )
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  }
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}

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{
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  getMetric(metric: "social_dominance_telegram") {
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    timeseriesDataJson(
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      selector: { text: "btc AND 1?k" }
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      from: "2020-01-01T00:00:00Z"
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      to: "2020-01-07T00:00:00Z"
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      interval: "1d"
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    )
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  }
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}

The full list of Social Dominance metrics is: