Definition

By Social data we consider a set of crypto related discussions from the internet that we collect and store in the form of text documents. It includes chat conversations, forum posts and comments, tweets and other pieces of text (usually pretty short). In addition to the text itself we also store some metadata that depends on the data source: user_id, hashtags, chat_title, etc. The Social data serves as a base layer for various statistics and metrics that we build on top of it.

How the data is being collected

We have a custom data scraper for each of the data sources we track. The scrapers collect all the new incoming messages/posts/comments/etc in real-time. For almost all of the sources we also have a historical scraper that allows to fetch historical text data from the past. We store the data in a NOSQL database which allows us to run full-text search queries on top of it very fast.

Available Assets

For each of the data sources we have a curated list of accounts/sub-sources from where we scrape the data. We collect all the available text documents and don't separate the incoming data by assets. I.e. the metrics we build on top of the social data are theoretically available for any asset (although in fact for projects with a small market capitalization the level of conversation around them is usually very low).

Available data sources

  1. Professional traders chat

This chat is hidden from search engines and usually has over 500 professional traders chatting every day about the state of the crypto market.

Latency: All the messages are collected in real-time (1-2s delay max.)

History: The historical data starts at 2018-02-09.

Availability: Used in all of our social metrics.

  1. Telegram

We track a curated list with over 300 crypto related Telegram chats. For each of them we have the full history of the chat.

Latency. All the messages are collected in real-time (1-2s delay max.)

History. Each chat has it's full historical data; the oldest chat starts at 2016-03-29.

Availability: Used in all of our social metrics.

  1. Twitter

We track a curated list with over 500 crypto related Twitter accounts. For each of them we collect their tweets, their retweets and all the replies to their tweets.

Latency: All the tweets are collected in real-time (1-2s delay max.)

History: The historical data starts at 2018-02-13.

Availability: Currently only available through our experimental platform https://graphs.santiment.net/social.

  1. Reddit

We track a curated list with over 350 crypto related subreddits. For each of them we collect the posts themselves, as well as all the comments to these posts.

Latency: All the posts and comments are collected in real-time (1-2s delay max.)

History: The historical data starts at 2016-01-01.

Availability: Data is currently only included in parts of Sanbase (https://app.santiment.net/labs/trends/explore/bullrun), as well as our experimental platform https://graphs.santiment.net/social.

  1. Discord

We track a curated list with over 30 crypto related servers. For each of them we collect the messages from all the public chats on the given server.

Latency: All the messages are collected in real-time (1-2s delay max.)

History: The historical data starts at 2016-05-21.

Availability: Used in all of our social metrics.

  1. Bitcointalk

We collect all the new public posts from bitcointalk.org. We also have the full historical data for the whole forum.

Latency: The scraper goes through all the new messages once per 10 seconds.

History: we have collected the full forum history, starting from 2009-11-22.

Availability: Currently only available through our experimental platform https://graphs.santiment.net/.

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