Understanding factors that affect response rates in twitter

HT, pp. 123-132, 2012.

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Keywords:
influence user responsenaive bayes predictorsupport vector machine classifieruser behaviorlarge twitter datasetMore(13+)

Abstract:

In information networks where users send messages to one another, the issue of information overload naturally arises: which are the most important messages? In this paper we study the problem of understanding the importance of messages in Twitter. We approach this problem in two stages. First, we perform an extensive characterization of a...More

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