Dataset

Twitter Census: Influence Metrics

Added By Infochimps

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Twitter influence – how to measure it? Let us count the ways: enthusiasm, feedness, sway, follow churn, trstrank, followers, outflux, interesting, chattiness, follow rate, influx…

How Does The Twitter Influence API Work?

The Twitter Influence API performs a “scrape” of the social network to gather and evaluate individual instances of metrics like mentions, number of tweets, retweets, followers, un-followers, tweets viewed per day, and many more data points that paint a picture of Twitter influence, that is, the level of engagement around a user. The Twitter analysis generated in this API accounts for these metrics and scores Twitter influence as defined by the terms found below in “Report Documentation.”

What Are Some Uses For The Twitter Influence API?

Community managers: target who among your community is most active on Twitter. See who is most likely to respond to a random @mention because they might have high Chattiness rating.

Marketers/advertisers: identify who are the main influencers within a community that is ideal for your product or service. Who would have the highest value tweet because they have high Sway?

The dataset is current as of April 2011.


Sign up for the API today. Click on “App Gallery” to check out the amazing capabilities of this data. See what others have created using Twitter Census: Influence Metrics!

The simplicity of the API provides ease of use with connecting your program or tool to a constant feed of Twitter user data. Once the API key is implemented in your code, you’ll never have to worry about refreshing the feed or updating the request for new information.

Test the functionality of the API now using the “Sample Request” below. Try one of the samples below, or enter your own details in the “user_ID” or “screen_name” field:

  • user_id: 15748351
  • screen_name: infochimps

Use the Twitter Screen Name to User ID Search API to find User ID numbers.