RT Journal Article
T1 On the tweet arrival process at Twitter: analysis and applications
A1 González Sánchez, Roberto
A1 Muñoz Muñoz, Alfonso
A1 Hernández Gutiérrez, José Alberto
A1 Cuevas Rumín, Rubén
AB This work provides a novel measurement-based analysis of the tweet arrival traffic process at Twitter. The analysis considers more than one million total tweets collected at 48 different times of the day (o'clock and half-past every hour). We observe a 3.5-tweet/ms average rate with a valley of 2.5 tweets/ms at 10 AM (GMT+1) and a peak at 3 PM (GMT+1) of about 5 tweets/ms. We further model the traffic pattern as a Gaussian process, and we validate such an assumption with multiple normality tests. Finally, we overview a number of applications where such a model may show its utility, namely infrastructure dimensioning and upgrading, the detection of outlier events, energy efficiency and so on.
PB Wiley
SN 2161-5748
YR 2014
FD 2014-02
LK https://hdl.handle.net/10016/37483
UL https://hdl.handle.net/10016/37483
LA eng
NO The authors would like to acknowledge the support of the MyUI project (under code FP7-ICT-248606) to the development of this work.
DS e-Archivo
RD 17 jul. 2024