NFT Social Volume

Definition

Social Volume is build on top of the Social Data. The idea is pretty much the same as for Social Volume.

The total number of text documents that contain the mention of certain NFT Collection at least one. Examples of documents are telegram messages and reddit posts. E.g., if a single short telegram message includes the word bored ape more than once, this message will increase the social volume of the Bored Ape Yacht Club by 1. If a long reddit post contains the word bored ape 10 times, this again will increase the social volume of the Bored Ape Yacht Club by 1.

Social Volume computed for NFT contract. For each contract we construct a special search term. We use machine learning model based on TF-IDF for computing those search terms. The idea is that we try to compute search terms based on pairwise similarity of NFTs' names. For computing embedding per each collections' name we use TF-IDF model on n-grams of chars.

Some search terms examples for some NFT collections:


Access

Restricted Access.


Measuring Unit

Amount of documents that mention the given NFT Collection.


Data Type

Timeseries Data


Change Metrics

Change Metrics


Frequency

Five-Minute Intervals


Latency

Social Data Latency


Sanbase

NFT Social Volume from all sources for a spicific NFT contract can be seen on a charts page.

The combined social volume from all sources is displayed. nft social volume

SanAPI

Available under the nft_social_volume name, where the value is combined from all sources (telegram, reddit, twitter, bitcointalk).

Social Volume for Azuki

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{
  getMetric(metric: "nft_social_volume") {
    timeseriesData(
      selector: {contractAddress:"0xed5af388653567af2f388e6224dc7c4b3241c544"}
      from: "2022-01-01T00:00:00Z"
      to: "2022-03-07T00:00:00Z"
      interval: "1d"
    ) {
      datetime
      value
    }
  }
}

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