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Digital archives as Big data

Luis Martinez-Uribe

Mathematical Population Studies, 2019, vol. 26, issue 2, 69-79

Abstract: Digital archives contribute to Big data. Combining social network analysis, coincidence analysis, data reduction, and visual analytics leads to better characterize topics over time, publishers’ main themes and best authors of all times, according to the British newspaper The Guardian and from the 3 million records of the British National Bibliography.

Date: 2019
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DOI: 10.1080/08898480.2017.1418116

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Mathematical Population Studies is currently edited by Prof. Noel Bonneuil, Annick Lesne, Tomasz Zadlo, Malay Ghosh and Ezio Venturino

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