Forecasting the pulse
Internet ResearchPublished 8 October 2013
Andreas Jungherr, Pascal Jürgens
Citations56
SJR quartileQ1
SJR score2.11
SNIP2.23
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TL;DR
To detect traces of extraordinary offline phenomena in online data, the paper determines the normal state of the respective communication environment by measuring the regular dynamics of specific variables in data documenting user behavior online by using the seasonal trend decomposition procedure based on loess.
Abstract
Purpose The steady increase of data on human behavior collected online holds significant research potential for social scientists. The purpose of this paper is to add a systematic discussion of different online services, their data generating processes, the offline phenomena connected to these data, and by demonstrating, in a proof of concept, a new approach for the detection of extraordinary offline phenomena by the analysis of online data.
Keywords
Social SciencesPhysics and Astronomy
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