A Framework for Validating the Merit of Properties that Predict the Influence of a Twitter user

Posted by stefan on November 29, 2014
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In this paper we try to identify characteristics of influential users on Twitter using attributes related to community structure, network position, text quality and user activity. [PDF]
We pursue a supervised approach and collect a dataset containing influential and non-influential users. Human annotators assigned the labels to each tweet and user.

You can find some of the code we used to extract the attributes here on my page.

In case you have any questions, contact me.