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A longitudinal assessment of the persistence of Twitter datasets

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Academic year: 2020

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Figure

Table 1. Time frames and number of tweets in the datasets under study.
Fig. 1. Completeness by event, where events are sorted by time, with older events on the left and newer events on the right.
Table 2. Representativity in p-values of recollected datasets with respect to original datasets, by year (p < 0.05 are highlightedin bold).
Table 4 shows the results of the analysis of the changingness of features. We can observe that ordinal featuresare very likely to change, especially users’ tweet counts, number of followers and followees, which is expected
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