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**1 - 1**of**1**### Modeling Tweet Arrival Times using Log-Gaussian Cox Processes

"... Research on modeling time series text cor-pora has typically focused on predicting what text will come next, but less well studied is predicting when the next text event will occur. In this paper we ad-dress the latter case, framed as modeling continuous inter-arrival times under a log-Gaussian Cox ..."

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Research on modeling time series text cor-pora has typically focused on predicting what text will come next, but less well studied is predicting when the next text event will occur. In this paper we ad-dress the latter case, framed as modeling continuous inter-arrival times under a log-Gaussian Cox process, a form of inhomo-geneous Poisson process which captures the varying rate at which the tweets ar-rive over time. In an application to ru-mour modeling of tweets surrounding the 2014 Ferguson riots, we show how inter-arrival times between tweets can be ac-curately predicted, and that incorporating textual features further improves predic-tions. 1