Vol. 8 No. 3 (2017)

Text mining and network science to analyze the complexity of reading. Principles, methods, application experiences

Chiara Faggiolani
University of Rome, Sapienza
Lorenzo Verna
Tykli srl
Maurizio Vivarelli
Università di Torino

Published 2017-09-15


  • Lettura,
  • Lettura Sociale,
  • Sistema complesso,
  • Text mining,
  • Network Science

How to Cite

Faggiolani, Chiara, Lorenzo Verna, and Maurizio Vivarelli. 2017. “Text Mining and Network Science to Analyze the Complexity of Reading. Principles, Methods, Application Experiences”. JLIS.It 8 (3):115-36. https://doi.org/10.4403/jlis.it-12414.


This paper proposes some reflections concerning the practice of reading, its conceptual structure and its transformations, the blurred profile of the information ecology in which it is inserted. At the same time illustrates  some outcomes of  a research project conducted with tools of text mining and network science on the social reading platform aNobii . 
The  paper presents these main topics: a) general overview of reading's context; b) short discussion reading as a complex system; c) presentation of some central concepts of network science and of its applications; d) introduction to text mining  with some results of analysis of aNobii's reviews;  e) conclusions and prospectives. 


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