| （英） |
This research is the analysis targeting trends formed on Twitter, with the addition of the momentum of each trending topic. In order to quantify the trend momentum, it uses the average arrival rate of tweets, including trend words. With momentum, it analyzes the process of forming a trend and identifies why some trends take a long time in the trends list from early data that trend topic has emerged. In addition, by combining the results of analyses and machine learning algorithms, this study attempts to predict the trend list. |