Publication: On the tweet arrival process at Twitter: analysis and applications
Loading...
Identifiers
Publication date
2014-02
Defense date
Advisors
Tutors
Journal Title
Journal ISSN
Volume Title
Publisher
Wiley
Impact
Export
Abstract
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.
Description
Keywords
Arrival process, Average rate, Gaussian processes, Measurement-based, Normality tests, Traffic pattern, Energy efficiency, Social networking (online)
Bibliographic citation
González, R., Muñoz, A., Hernández, J. L., & Cuevas, R. (2014). On the tweet arrival process at Twitter: analysis and applications. Transactions on Emerging Telecommunications Technologies, 25(2), 273-282.