Prediction of Re-tweeting Activities in Social Networks Based on Event Popularity and User Connectivity
作者： Sayan Unankard
DOI: 10.1007/978-3-319-96133-0_27
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摘要: This paper proposes an approach to predict the volume of future re-tweets for a given original short message (tweet). In our research we adopt probabilistic collaborative filtering prediction model called Matchbox in order number based on event popularity and user connectivity. We have evaluated real-world dataset furthermore compare results two baselines. use datasets crawled by WISE 2012 Challenge (http://www.wise2012.cs.ucy.ac.cy/challenge.html) from Sina Weibo (http://weibo.com), which is popular Chinese microblogging site similar Twitter. Our experiments show that proposed can effectively amount message.
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