The following article was recently published by Mathematical Population Studies 2018. We are providing access to an preprint version deposited by the author in arXiv.
Final Version in: Mathematical Population Studies
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.
Direct to Full Text Article
17 pages; PDF.