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	DOI:10.1080/08898480.2017.1418116

Corpus ID: 3544327Digital archives as Big data
@article{MartinezUribe2018DigitalAA,
  title={Digital archives as Big data},
  author={L. Martinez-Uribe},
  journal={Mathematical Population Studies},
  year={2018},
  volume={26},
  pages={69 - 79}
}
	L. Martinez-Uribe
	Published 2018
	History, Computer Science
	Mathematical Population Studies

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. 

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	Big data
	Social network analysis


	Visual analytics
	Archive


	Library (computing)






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Library Catalogue Records as a Research Resource: Introducing ‘A Big Data History of Music’
	Sandra Tuppen, Sandra Rose, Sandra Stephen Loukia Drosopoulou
	Art
	2016

	4



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Studying Coincidences with Network Analysis and Other Multivariate Tools
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Graphs, Maps, Trees: Abstract Models for a Literary History
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Visual Analytics: Definition, Process, and Challenges
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Network Analysis of Works on Clustering and Classification from Web of Science
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BIBLIOGRAPHIC DATA: A DIFFERENT ANALYSIS PERSPECTIVE
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Ten challenges in modeling bibliographic data for bibliometric analysis
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