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Different calculation manners of data popularity are hence studied.
In this paper, the importance of considering the data popularity parameter in replication management is highlighted.
This allows us to find out which factors are considered in order to assess data popularity.
Different strategies are then identified and how they rely on the data popularity parameter is illustrated.
Some important directions for future work are then discussed towards possible solutions for a more effective data popularity assessment.
Data popularity is one of the most important parameters taken into consideration when designing data replication strategies.
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We then obtained the yearly popularity data for a specific set of key words, like "biodiversity," "global," "Holocene" and "paleoclimate".
There is little data about the popularity of names just among Hispanics, but in places with high Hispanic populations, Jose seems to be less common.
To give us a deeper understanding we have automatically tagged the articles with the date of publication, section, gender of author, and social popularity data from Twitter, Facebook and Google+.
As part of our research on trends and how ideas catch on, my colleagues and I analyzed more than 125 years of data on the popularity of baby names.
Against this baseline, we took the popularity data for each key word over the years and plotted them along a timeline according to a mathematical model of fashion waves.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com