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On the tweet arrival process at Twitter: analysis and applications
Author(s) -
González Roberto,
Muñoz Alfonso,
Hernández José Alberto,
Cuevas Rubén
Publication year - 2014
Publication title -
transactions on emerging telecommunications technologies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.366
H-Index - 47
ISSN - 2161-3915
DOI - 10.1002/ett.2772
Subject(s) - outlier , computer science , process (computing) , dimensioning , anomaly detection , gaussian process , gaussian , operations research , real time computing , data mining , artificial intelligence , engineering , operating system , aerospace engineering , physics , quantum mechanics
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. Copyright © 2014 John Wiley & Sons, Ltd.